Origen -- A Basic Stylometric Study

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Origen -- A Basic Stylometric Study

Post by Peter Kirby » Thu Jun 04, 2015 11:58 am

(tl;dr...? read this part....)

The results in summary, not including those texts not tested or too short to say anything meaningful.

102 of 119 (# matches to Origen) / 85.7%Certainly Origen
40 of 52Contra Celsum
4 of 4De principiis
16 of 18Commentarii in evangelium Joannis (extant books 1-32)
18 of 19Commentarium in evangelium Matthaei (books 12-17)
3 of 3Exhortatio ad martyrium
6 of 6De oratione
15 of 17Philocalia
6 of 7 (# matches to Origen) / 85.7%Probably Origen
2 of 3Homiliae in Lucam
1 of 1Epistula ad Africanum
1 of 1De engastrimytho (Homilia in i Reg. [i. Sam.] 28.3-25)
1 of 1Homiliae in Exodum
1 of 1Selecta in Exodum, Fragmenta ex commentariis in Exodum
1 of 4 (# matches to Origen) / 25% [cumulative 83.8%]Possibly Origen
1 of 1Homiliae in Leviticum
0 of 1Dialogus cum Heraclide
0 of 1In Jesu Nave homiliae xxvi (fragmenta e catenis)
0 of 1Libri x in Canticum canticorum (fragmenta)
8 of 15 (# matches to Origen) / 53.3% [cumulative 80.7%]Possibly Origen, Mixed Authorship, or Author Unknown
6 of 11In Jeremiam (homilies 1-20)
2 of 4Fragmenta in Lucam (in catenis)
4 of 30 (# matches to Origen) / 13.3%Likely Not by Origen, Author Unknown
2 of 20Fragmenta in Psalmos 1-150 [Dub.]
1 of 4Commentarii in epistulam ad Romanos (I.1-XII.21) (in catenis)
1 of 4Fragmenta ex commentariis in epistulam ad Ephesios (in catenis)
0 of 2Scholia in Apocalypsem (scholia, 1, 3-39)
8 of 10 (# matches to Gregory) / 80%Not by Origen, Possibly by Gregory Nyssenus (or Someone Else)
8 of 10Fragmenta ex commentariis in epistulam i ad Corinthios (in catenis)
10 of 11 (# matches to Clement) / 90.9%Not by Origen, Possibly by Clement of Alexandria (or Someone Else)
2 of 2Fragmenta in Jeremiam (in catenis)
5 of 5Expositio in Proverbia (fragmenta e catenis)
3 of 4Fragmenta in Lamentationes (in catenis)

The basis for deciding whether a text was "possibly Origen" or "likely not by Origen" is mentioned in this post (using Fisher's exact test).

This doesn't seem to contradict scholarship on Origen or on the patristics severely, in general terms, which is good. The ones that "should" have been identified as certainly Origen's, according to scholarship, have been identified as certainly Origen's. The ones that "should" be considered "[Dub.]" are considered dubious. While there may be some expansion of the "dubious" category, the texts claimed are not among those asserted to be part of the 'core canon' of Origen's texts; they frequently are attested only through the catenae, which have something of a reputation for occasional misattribution.

On the other hand, there are some issues with the possible rewriting of Origen (especially in excerpted fragments), differences arising from certain selection biases when a continuous text of the author is not available (again, for excerpted fragments), or possible differences due to genre (in the homilies for example) or the difficulty of finding where the quotes end and begin in an efficient manner (especially scriptural quotations), so it's possible (possible) that a few more texts end up in the "dubious" categories than possibly (possibly) should be.

The suggestions that Clement of Alexandria or Gregory Nyssenus could be responsible for some of this text are intriguing and deserve further investigation.

(the nitty gritty details...)

Using a list of 33 words, the study begins with a leave-one-out analysis of the Contra Celsum, using samples approximately 2500 words in length. The direct quotations are removed first. A total of 52 samples are made this way. 40 out of 52 point to the author of the rest of the Contra Celsum, instead of the author of the Praeparatio Evangelica of Eusebius, as the author (76.9% accuracy). When including 31 controls as well, 40 out of 52 still point to the work itself ('Origen') as the best match (76.9% accuracy).

Four samples were taken from the De principiis, between 3000 and 3500 words in length. The author of the Contra Celsum was treated as the 'Origen' candidate. Using the same list of 33 words, 'Origen' was selected as the best candidate out of 33, including controls, 4 out of 4 times (100% accuracy).

Ten samples were taken from the Commentarii in evangelium Joannis (books 1, 2, 4, 5, 6, 10, 13), 3500 to 4000 words long. The direct quotes were removed first. The author of the Contra Celsum was treated as the 'Origen' candidate. Using the same list of 33 words, 'Origen' was selected over Eusebius 10 out of 10 times (100% accuracy). When including the 31 controls, 'Origen' was selected as the best candidate 8 out of 10 times (80% accuracy).

Three samples were taken from the Exhortatio ad martyrium, using samples approximately 2500 words in length. The direct quotes were removed first. The author of the Contra Celsum was treated as the 'Origen' candidate. Using the same list of 33 words, 'Origen' was selected as the best candidate out of 33, including controls, 3 out of 3 times (100% accuracy).

Six samples were taken from the De oratione, using samples approximately 3000 words in length. The direct quotes were removed first. The author of the Contra Celsum was treated as the 'Origen' candidate. Using the same list of 33 words, 'Origen' was selected as the best candidate out of 33, including controls, 6 out of 6 times (100% accuracy).

Five samples are taken of the homilies known as 'In Jeremiam' 1-11. The samples are taken along homily divisions: 1st Homily (3355 words), 2nd-4th Homily (2726 words), 5th Homily (4047 words), 6th-8th Homily (3866 words), and 9th-11th Homily (3922 words). Direct quotes were removed first. The author of the Contra Celsum was treated as the 'Origen' candidate. For all five, Origen rated more highly than Eusebius. The second sample (2nd-4th Homily), the fourth sample (6th-8th Homily), and the fifth sample (9th-11th Homily), however, were rated more highly for one of the controls. One possible explanation of this data is that the two longer homilies were genuinely Origen's (the 1st and the 5th), while the shorter ones were added to the collection but were not Origen's.

Two samples (3421 and 3139 words in length) were taken of another homily on Jeremiah ('Fragmenta in Jeremiam') known through the catenae. Direct quotes were removed first. The author of the Contra Celsum was treated as the 'Origen' candidate. Both of these two samples provided a dramatically better match with Clement of Alexandria than they did with Origen (Clement's p-value of 0.183 to Origen's 0.082 and Clement's p-value of 0.112 to Origen's 0.061). Clement of Alexandria was the best match for each sample. One possible explanation is that a homily written by Clement of Alexandria later circulated under the name of Origen. Whether this is actually true requires further analysis.

The work called the 'De engastrimytho (Homilia in i Reg. [i. Sam.] 28.3-25)' measures 3574 words in length. Using the same 33 words used in every other test with Origen so far, and using the Contra Celsum as the sample representing the author 'Origen', Origen is identified as the best candidate author for the sample, out of 33 candidates, including the controls.

The text known as the 'Homiliae in Lucam' divides into three samples of approximately 3000 words each. Quotes are removed first. The author of the Contra Celsum was treated as the 'Origen' candidate. When compared against Eusebius, 'Origen' is picked as the most likely candidate 3 out of 3 times (100% accuracy). When compared against 33 candidates, including the controls, Origen is selected as the most likely candidate 2 out of 3 times (67% accuracy).

The 'Dialogus cum Heraclide' measures 3613 words long, after the direct quotes are removed. The same list of 33 words was used. The author of the Contra Celsum was treated as the 'Origen' candidate. Between Eusebius and Origen, Origen is selected as the better candidate. However, among 33 candidates, Origen was edged out slightly by one of the controls. This might just be a false negative. Or, because the text itself records the substance of a dialogue between Origen and Heraclides, referring to "Origen" in the third person, the text may have been written by one of Origen's students, someone else who attended the affair, or some other author.

The compilation known as the 'Philocalia' was broken into 17 samples, each approximately 3500 words in length. The same list of 33 words was used. The author of the 'Contra Celsum' was considered the 'Origen' author candidate. Between Origen and Eusebius, Origen was selected as the better author candidate 16 of 17 times (94% accuracy). When 31 controls are added as candidates, Origen was selected as the best candidate, out of 33 total candidates, 15 out of 17 times (88% accuracy). The ultimate author of the Philocalia, said to be compiled by Basil of Caesarea and Gregory of Nazianzus as excerpts from the Alexandrian church father's works, clearly seems to be Origen.

Six samples are taken of the homilies known as 'In Jeremiam' 12-20 (continuing the numbered homilies on Jeremiah). The samples are taken along homily division: 12th-13th Homily (4195 words), 14th Homily (3791 words), 15th-16th Homily (3612 words), 17th-18th Homily (4283 words), 19th Homily (2187 words), and 20th Homily (4516 words). Direct quotes were removed first. The same list of 33 words was used. The author of the Contra Celsum was treated as the 'Origen' candidate. Between Eusebius and Origen, Origen is picked over Eusebius 6 out of 6 times. Origen is picked over all the controls for the 12th-13th Homily, the 17th-18th Homily, the 19th Homily, and the 20th Homily. A control is selected over Origen for the other two samples (14th Homily Homily, 15th-16th Homily).

There are a total of eleven samples taken from the homilies known as 'In Jeremiam' (6 out of 11 positive). This is enough to perform a meta-analysis comparing the results of these 11 samples to the results of the authenticated works of Origen (so far): Contra Celsum (40 out of 52 positives), De principiis (4 out of 4 positives), Commentarii in evangelium Joannis (8 out of 10 positives), De oratione (6 out of 6 positives), Homiliae in Lucam (2 out of 3 positives), and Philocalia (15 out of 17 positives), for a total of 75 out of 92 positive (81.5%). The question is whether the results are significantly different from the results for the authentic works (and, thus, whether all twenty homilies could be authentic).

In JeremiamControl Group (Results in Authentic Works)
Positives675
Negatives517

Chi-square value: 4.2567
degrees of freedom: 1
one-tailed p-value (chi-squared test): 0.0195 (this is <0.05)
one-tailed p-value (Fisher's exact test): 0.054 (this is >0.05)

It is plausible to assume that all twenty of the homilies 'In Jeremiam' came from Origen, but it doesn't seem very likely.

Nineteen samples were taken from the 'Commentarium in evangelium Matthaei' (books 12-17), each approximately 4000 words in length. The direct quotations were removed first. The same list of 33 words was used. The author of the Contra Celsum was treated as the 'Origen' candidate. Between Eusebius and Origen, Origen is selected as the better candidate 19 out of 19 times (100% accuracy). When the 31 controls are included as well, Origen is selected as the best candidate 18 out of 19 times (94.7% accuracy). Origen clearly seems to be the author.

After quotations are removed, the extant letter of Origen to Africanus ('Epistula ad Africanum') is 3146 words long. The same list of 33 words is used. 'Origen' is represented by the text of the Contra Celsum. Origen is selected as the best candidate out of 33 candidates, including the controls.

Eight samples were taken from the 'Commentarium in evangelium Joannis' (books 19, 20, 28, 32): one comprising the 19th book (4090 words long), three from the 20th book (lengths of 3243, 3207, and 3233 words), two from the 28th book (2732 and 2665 words), and two from the 32nd book (3861 and 3930 words). The direct quotations were removed first. The same list of 33 words was used. The author of the Contra Celsum was treated as the 'Origen' candidate. Origen was considered the best candidate for authorship, out of 33 candidates including the controls, 8 out of 8 times (100% accuracy).

There are extant some 'Fragmenta in evangelium Joannis (in catenis)'. Once quotations are removed, it is 1610 words long. It may be too short in length to expect a reliable result. It is also an amalgam of several different authors making citations. And there may be some errors in discerning where the direct quotations actually are.

It does not seem that a reliable result can be obtained for the 'Fragmenta in librum primum Regnorum (in catenis)', at 1865 words, either.

Clement of Alexandria has been moved from 'control' to 'author candidate' (control #31 takes the place that Clement had as control #25, which becomes author candidate #3), and Cyril of Alexandria has been added as an author candidate (#4). Clement of Alexandria is represented by his 'trilogy' (Protrepticus, Paedagogus, and Stromata--without quotations). Cyril of Alexandria is represented by 'Against Julian' and his 'Commentary on John' (without quotations).

The controls now are: #1 Mark, #2 John, #3 1 Corinthians, #4 Hebrews, #5 Revelation, #6 Letter of Aristeas, #7 1 Maccabees, #8 2 Maccabees, #9 Polybius, #10 Diodorus Siculus, #11 Dionysius Halicarnassus, #12 Strabo, #13 Plutarch, #14 Arrian, #15 Herodian, #16 Herodotus, #17 Thucydides, #18 Xenophon, #19 Epictetus, #20 Galen, #21 Lucian, #22 Philostratus, #23 Josephus, #24 Acts, #25 Gregory Nyssenus, #26 Justin Martyr, #27 Theophilus of Antioch, #28 Athanasius, #29 John Chrysostom, and #30 Basil.

Four samples are taken from the text 'Fragmenta in Lamentationes (in catenis)', each approximately 2000 words long. This appears to have a continuous source, which is some 'catena'. The quotations were removed first. Among the four author candidates, 'Origen' is picked as the most likely for the first sample, while 'Clement of Alexandria' is picked as the most likely for the other three samples. This is sufficient to reject the (null) hypothesis that Origen may have authored the entire thing. One possibility is that this was written by Clement of Alexandria. Another possibility is that a text written by Clement of Alexandria was extensively used and adapted by Origen.

The 'Fragmenta in Lucam (in catenis)' is a tough nut to crack. If divided into two samples of 6000 words each, it goes to Cyril of Alexandria (once) and then Clement of Alexandria (once). If divided into three samples of 4000 words each, it goes to Cyril of Alexandira (once), Origen (once), and Clement of Alexandria (once). If divided into four samples of 3000 words each, it goes to Cyril of Alexandria (once), Origen (twice), and Clement of Alexandria (once). If divided into six samples of 2000 words each, it goes to Cyril of Alexandria (twice), a control (once), Origen (twice), and Clement of Alexandria (once). A bit mind boggling, right? Makes you want to understand it, right? To tease through and figure out what it means? Well, good luck. Even starting from 12,000 words, there may sometimes be no very definite results, despite how tantalizing it is to 'make a guess' for our pattern-seeking minds (yes, I am guilty of this also). If I had to make a guess, none of these three men were the author (or maybe Origen was after all), but we can't be sure of that either.

The 'In Jesu Nave homiliae xxvi (fragmenta e catenis)' measures 3138 words, after quotations are removed. The same list of 33 words was used. The best candidate selected for authorship is Clement of Alexandria, and the second-best candidate is Origen. With only one sample from which to get a reading, these results are inconclusive. The text may have been written by Clement of Alexandria, by Origen, or by a third party.

The 'Libri x in Canticum canticorum (fragmenta)' measures 2688 words, before quotations are removed, and 1829 words, after quotations are removed. The same list of 33 words was used. Clement of Alexandria is selected as the best candidate before quotations are removed and as the second-best candidate (just behind one of the controls) after quotations are removed. Because only one sample can be tested, it is not very conclusive. The text may have been written by Clement of Alexandria, by Origen, or by a third party.

There is extant some 'Fragmenta ex commentariis in epistulam i ad Corinthios (in catenis)' that has been divided into ten samples of approximately 2300 words each. It appears to have a continuous source and represents a commentary on most of the epistle of 1 Corinthians, from chapter one to chapter sixteen. The direct quotations were removed first. The same list of 33 words was used. Four author candidates were considered: Origen, Eusebius, Clement, and Cyril. Among the author candidates, Origen was favored 5 times, Clement was favored 4 times, and Cyril was favored 1 time. But when the thirty controls are added to the mix, one of them (Gregory Nyssenus) was selected as the closest match to the sample 8 out of 10 times (otherwise, Origen once and Clement once). This is enough to reject the hypothesis that Origen, Eusebius, Clement, or Cyril wrote it. On the basis of the stylometric evidence, the most likely conclusion appears to be that Gregory Nyssenus or some other third party wrote it; further analysis is required to determine which of these two options is more likely.

The 'Fragmenta ex commentariis in epistulam ad Ephesios (in catenis)' divides into eight samples, about 2000 words (or into four samples, about 4000 words long). The direct quotations were removed first. The same list of 33 words is used. With eight samples, Origen is closest 2 times, Clement of Alexandria is closest 2 times, Cyril of Alexandria is closest 2 times, and a control (Gregory Nyssenus) is closest 2 times. (With four samples, Cyril is closest 2 times, Origen is closest 1 time, and Clement is closest 1 time.) With results like these, either the text is of mixed authorship or, if it is not of mixed authorship, it is unlikely that any of the candidates is the actual author.

The 'Commentarii in epistulam ad Romanos (I.1-XII.21) (in catenis)' breaks into four samples of approximately 2500 words in length. When using four candidate authors and thirty controls, the closest match appears to be Origen (once), Clement of Alexandria (once), and Gregory Nyssenus (twice). Although this makes it less likely that Origen is the actual author of the entire text, other than that, no very sure conclusions can be reached on this basis.

Two samples are made of the 'Scholia in Apocalypsem (scholia 1, 3-39)' that are approximately 2500 words in length. They match best with two different controls. This indicates against the hypothesis that Origen wrote it all, but no further conclusion can be reached.

Twenty samples are made from 'Fragmenta in Psalmos 1-150', which are marked by the TLG itself as '[Dub.]', with each sample being approximately 4000 words in length. Direct quotations, where marked by the editor, are removed first. The same list of 33 words is used. The same 4 author candidates and 30 control candidates are used. Among all 34 candidates, Origen was selected as the closest 2 of 20 times, Clement was selected as the closest 4 of 20 times, Cyril was selected as the closest 5 of 20 times, control #25 was selected as the closest 3 of 20 times, and control #26 was selected as the closest 6 of 20 times. If the text is not a composite work, this is sufficient to reject Origen (and all the candidates) as being unlikely to be the actual author of the text.

The work known as the 'Homiliae in Exodum' measures 5070 words long, after quotations are removed. The same list of 33 words is used. There are four author candidates and 30 control candidates. Among all 34, Origen is selected as the closest match by a considerable margin.

The work known as the 'Homiliae in Leviticum' measures 1319 words long, after quotations are removed. The same list of 33 words is used. There are four author candidates and 30 control candidates. Among all 34, Origen is selected as the closest match by a slight margin. This does not, however, provide a secure conclusion, due to the short extent of the text and the existence of other, potential near-matches.

The works titled the 'Fragmenta ex commentariis in Exodum (= In illud: Induravit dominus cor Pharaonis)' and the 'Selecta in Exodum (fragmenta e catenis)' are combined into one text of 5070 words, after quotations are removed. The same list of 33 words is used, as well as the same 34 candidates, including 30 controls. Origen is selected as the closest match by a considerable margin.

The 'Expositio in Proverbia (fragmenta e catenis)' divides into five samples of approximately 3500 words each, with direct quotations removed first. The same list of 33 words was used. Of four author candidates and thirty controls, Clement of Alexandria was chosen as the most likely match 5 out of 5 times (100% of the time). Further analysis (using conventional methods of authorship attribution) is required to verify that Clement of Alexandria actually were the author.

The rest of these works ascribed to Origen in the TLG are considered too difficult to work with (or just too short) for the time being.

Fragmenta de principiis
Fragmenta alia de principiis
Fragmentum in Lamentationes (in catenis)
Fragmentum in librum primum Regnorum (in catenis)
Fragmenta in Lucam (in catenis)
Homiliae in Genesim (in catenis)
Homiliae in Ezechielem
Commentariorum series in evangelium Matthaei (Mt 22.32-27.63)
Fragmenta ex commentariis in evangelium Matthaei
Fragmenta in evangelium Matthaei
Epistula ad Gregorium Thaumaturgum (e Philocalia)
Commentarii in epistulam ad Romanos (I.1-XII.21) (in catenis)
Commentarii in epistulam ad Romanos (e cod. Vindob. gr. 166)
Commentarii in Romanos (III.5-V.7) (P. Cair. 88748 cod. Vat gr. 762)
Commentarii in Romanos (cod. Athon. Laura 184 B64)
Epistula ad ignotum (Fabianum Romanum)
Epistula quibusdam qui ei obtrectrabant (ad Alexandrum Hierosolymitanum)
Scholia in Apocalypsem (scholia 28-38)
De resurrectione libri ii (fragmenta)
Commentarii in Genesim (Fragmenta)
Selecta in Genesim (fragmenta e catenis)
In Ruth (fragmentum)
Homiliae in Job (fragmenta in catenis, typus I) (e codd. Paris.)
In Canticum canticorum (libri duo quos scripsit in adulescentia)
Fragmenta ex commentariis in Ezechielem
Selecta in Ezechielem (fragmenta e catenis)
Fragmentum ex commentariis in Osee
Fragmentum ex homilis in Acta apostolorum
In epistulam ad Hebraeos homiliae
Adnotationes in Genesim
Adnotationes in Exodum
Adnotationes in Leviticum (fragmenta e catenis)
Adnotationes in Numeros
Adnotationes in Deteronomium (fragmenta e catenis)
Adnotationes in Jesu filium Nave (fragmenta e catenis)
Adnotationes in Judices
Homiliae in Job (fragmenta in catenis, typus II)
Excerpta in Psalmos [Dub.]
Scholia in Canticum canticorum
Scholia in Matthaeum
Scholia in Lucam (fragmenta e cod. Venet. 28)
Homilae in Job (fragmenta in catenis, typus I II) (e codd. Vat.)

Part of this is just fatigue. I might be able to do something with some of this later.
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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Re: Origen -- A Basic Stylometric Analysis

Post by Peter Kirby » Thu Jun 04, 2015 11:58 am

testsize: 2710
$VAR1 = 153; $VAR2 = 127; $VAR3 = 63; $VAR4 = 164; $VAR5 = 59; $VAR6 = 34; $VAR7 = 0; $VAR8 = 9; $VAR9 = 2; $VAR10 = 60; $VAR11 = 15; $VAR12 = 141; $VAR13 = 3; $VAR14 = 2; $VAR15 = 57; $VAR16 = 22; $VAR17 = 13; $VAR18 = 26; $VAR19 = 10; $VAR20 = 17; $VAR21 = 8; $VAR22 = 25; $VAR23 = 17; $VAR24 = 7; $VAR25 = 20; $VAR26 = 13; $VAR27 = 11; $VAR28 = 4; $VAR29 = 26; $VAR30 = 11; $VAR31 = 20; $VAR32 = 9; $VAR33 = 18;

33 Words
$VAR1 = [ 'O', 'OI', 'H', 'AI', 'TO', 'TA' ]; $VAR2 = [ 'TOU', 'TWN', 'THS' ]; $VAR3 = [ 'TWi', 'TOIS', 'THi', 'TAIS' ]; $VAR4 = [ 'TON', 'TOUS', 'THN', 'TAS', 'TO', 'TA' ]; $VAR5 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR6 = [ 'OUTOS', 'TOUTOU', 'TOUTWi', 'TOUTON', 'AUTOI', 'TOUTWN', 'TOUTOIS', 'TOUTOUS', 'AUTH', 'TAUTHS', 'TAUTHi', 'TAUTHN', 'AUTAI', 'TAUTAIS', 'TAUTAS', 'TOUTO', 'TOUTO', 'TAUTA' ]; $VAR7 = [ 'ODE', 'TOUDE', 'TWiDE', 'TONDE', 'OIDE', 'TWNDE', 'TOISDE', 'TOUSDE', 'HDE', 'THSDE', 'THiDE', 'THNDE', 'AIDE', 'TWNDE', 'TAISDE', 'TASDE', 'TODE', 'TOUDE', 'TODE', 'TADE' ]; $VAR8 = [ 'EKEINOS', 'EKEINOU', 'EKEINWi', 'EKEINON', 'EKEINOI', 'EKEINWN', 'EKEINOIS', 'EKEINOUS', 'EKEINH', 'EKEINHS', 'EKEINHi', 'EKEINHN', 'EKEINAI', 'EKEINAIS', 'EKEINAS', 'EKEINO', 'EKEINOU', 'EKEINWi', 'EKEINO', 'EKEINA', 'EKEINWN', 'EKEINOIS', 'EKEINA' ]; $VAR9 = [ 'DH' ]; $VAR10 = [ 'EIMI', 'EI', 'ESTI', 'ESTIN', 'ESMEN', 'ESTE', 'EISI', 'EISIN', 'HN', 'HSQA', 'HN', 'HMEN', 'HTE', 'HSAN', 'ESOMAI', 'ESHi', 'ESEI', 'ESTAI', 'ESOMEQA', 'ESESQE', 'ESONTAI', 'W', 'HiS', 'Hi', 'WMEN', 'HTE', 'WSI', 'EIHN', 'EIHS', 'EIH', 'EIHMEN', 'EIMEN', 'EIHTE', 'EITE', 'EIHSAN', 'EIEN', 'ESOIMHN', 'ESOIO', 'ESOITO', 'ESOIMEQA', 'ESOISQE', 'ESOINTO', 'ISQI', 'ESTW', 'ESTE', 'ESTWN', 'ONTWN', 'ESTWSAN', 'EINAI', 'ESESQAI', 'WN', 'OUSA', 'ON', 'ESOMENOS', 'ESOMENH', 'ESOMENON' ]; $VAR11 = [ 'LEGW', 'LEGEIS', 'LEGEI', 'LEGETON', 'LEGETON', 'LEGOMEN', 'LEGETE', 'LEGOUSI', 'LEGOUSIN', 'LEGW', 'LEGHiS', 'LEGHi', 'LEGHTON', 'LEGHTON', 'LEGWMEN', 'LEGHTE', 'LEGWSI', 'LEGWSIN', 'LEGOIMI', 'LEGOIS', 'LEGOI', 'LEGOITON', 'LEGOITHN', 'LEGOIMEN', 'LEGOITE', 'LEGOIEN', 'LEGE', 'LEGETW', 'LEGETON', 'LEGETWN', 'LEGETE', 'LEGONTWN', 'LEGOMAI', 'LEGEI', 'LEGHi', 'LEGETAI', 'LEGESQON', 'LEGESQON', 'LEGOMEQA', 'LEGESQE', 'LEGONTAI', 'LEGWMAI', 'LEGHi', 'LEGHTAI', 'LEGHSQON', 'LEGHSQON', 'LEGWMEQA', 'LEGHSQE', 'LEGWNTAI', 'LEGOIMHN', 'LEGOIO', 'LEGOITO', 'LEGOISQON', 'LEGOISQHN', 'LEGOIMEQA', 'LEGOISQE', 'LEGOINTO', 'LEGOU', 'LEGESQW', 'LEGESQON', 'LEGESQWN', 'LEGESQE', 'LEGESQWN', 'LEGEIN', 'LEGESQAI', 'LEGWN', 'LEGOUSA', 'LEGON', 'LEGOMENOS', 'LEGOMENH', 'LEGOMENON', 'ELEGON', 'ELEGOMHN', 'ELEGON', 'ELEGES', 'ELEGE', 'ELEGETON', 'ELEGETHN', 'ELEGOMEN', 'ELEGETE', 'ELEGON', 'ELEGOU', 'ELEGETO', 'ELEGESQON', 'ELEGESQHN', 'ELEGOMEQA', 'ELEGESQE', 'ELEGONTO', 'LECW', 'LECOMAI', 'LEXQHSOMAI', 'LECW', 'LECEIS', 'LECEI', 'LECETON', 'LECETON', 'LECOMEN', 'LECETE', 'LECOUSI', 'LECOUSIN', 'LECOIMI' ]; $VAR12 = [ 'KAI', 'KA' ]; $VAR13 = [ 'TE', 'T' ]; $VAR14 = [ 'OUTE', 'OUT', 'OUQ', 'EITE', 'EIT', 'EIQ', 'MHTE', 'MHT', 'MHQ' ]; $VAR15 = [ 'DE', 'D' ]; $VAR16 = [ 'MH' ]; $VAR17 = [ 'META', 'MET', 'MEQ', 'ME', 'M' ]; $VAR18 = [ 'MEN' ]; $VAR19 = [ 'ALLA', 'ALL' ]; $VAR20 = [ 'GAR' ]; $VAR21 = [ 'EIS' ]; $VAR22 = [ 'EPI', 'EP' ]; $VAR23 = [ 'DIA', 'DI' ]; $VAR24 = [ 'EK', 'EC' ]; $VAR25 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR26 = [ 'OUDE', 'OUD', 'MHDE', 'MHD' ]; $VAR27 = [ 'OUN' ]; $VAR28 = [ 'EPEI' ]; $VAR29 = [ 'OTI', 'OT', 'OQ' ]; $VAR30 = [ 'OUN' ]; $VAR31 = [ 'PERI' ]; $VAR32 = [ 'GIGNOMAI', 'GIGNWMAI', 'GIGNOIMHN', 'GIGESQAI', 'EGIGNOMHN', 'GENHSOMAI', 'GENHSOIMEHN', 'GENHQHSOMAI', 'GENHQHSOIMHN', 'GENHSESQAI', 'GENHSOMENOS', 'GENHSOMENH', 'GENHSOMENON', 'GEGONA', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONOIMI', 'GEGONOIHN', 'GEGENHMAI', 'GEGENHMAI', 'GEGENHMENOS', 'GEGONENAI', 'GEGONWS', 'GEGONUIA', 'GEGONOS', 'EGEGONEIN', 'EGEGONH', 'EGEGENHMHN', 'GIGNEI', 'GIGNHi', 'GIGNOIO', 'GIGNOU', 'EGIGNOU', 'GENHSEI', 'GENHSHi', 'GENHSOIO', 'GENHQHSEI', 'GENHQHSHi', 'GENHQHSOIO', 'EGENOU', 'GENHi', 'GENOIO', 'GENOU', 'EGENHQHS', 'GENHQHiS', 'GENHQEIHS', 'GENHQHTI', 'GEGONAS', 'GEGONWS', 'GEGONHS', 'GEGONWS', 'GEGONOIS', 'GEGONOIHS', 'GEGONWS', 'GEGENHSAI', 'GEGENHMENOS', 'GEGENHSO', 'EGEGONEIS', 'EGEGONHS', 'EGEGENHSO', 'GIGNETAI', 'GIGNHTAI', 'GIGNOITO', 'GIGNESQW', 'EGIGNETO', 'GENHSETAI', 'GENHSOITO', 'GENHQHSETAI', 'GENHQHSOITO', 'EGENETO', 'GENHTAI', 'GENOITO', 'GENESQW', 'EGENHQH', 'GENHQHi', 'GENHQEIN', 'GENHQHTW', 'GEGONE', 'GEGONWS', 'GEGONHi', 'GEGONWS', 'GEGONOI', 'GEGONOIN', 'GEGONWS', 'GEGENHTAI', 'GE' ]; $VAR33 = [ 'AN', 'EAN' ];

Author Z-Score-Based P-Values
$VAR1 = '0.278624648324433'; $VAR2 = '0.195898418273353';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '4.76685276363422e-07'; $VAR2 = '3.49979027914161e-07'; $VAR3 = '5.10004556390539e-14'; $VAR4 = '1.22746747020879e-100'; $VAR5 = '2.6699618927974e-21'; $VAR6 = '0.0150441651795091'; $VAR7 = '8.1448830466876e-10'; $VAR8 = '8.73928350170752e-05'; $VAR9 = '0.00186649683604955'; $VAR10 = '0.00293380283765919'; $VAR11 = '0.00551743800943368'; $VAR12 = '0.071585487662898'; $VAR13 = '0.000200555452960665'; $VAR14 = '0.00120190140034712'; $VAR15 = '0.000691772634395154'; $VAR16 = '4.89479692841199e-06'; $VAR17 = '0.0150273772497403'; $VAR18 = '0.0309203919823675'; $VAR19 = '9.8497256283148e-05'; $VAR20 = '0.0277264083300745'; $VAR21 = '0.0695464967794757'; $VAR22 = '0.00272382154859102'; $VAR23 = '0.0174708243350653'; $VAR24 = '0.00189434979683676'; $VAR25 = '0.0595065065241465'; $VAR26 = '0.0932070334269566'; $VAR27 = '0.0430396033293751'; $VAR28 = '0.0847842299179944'; $VAR29 = '0.0280206453550957'; $VAR30 = '0.0673780928148619'; $VAR31 = '0.087157750122161';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.587167764724492'; $VAR2 = '0.412832235275508';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.749330038290617'; $VAR3 = 26; $VAR4 = '0.250669961709384';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.673076923076923
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2656
Author Z-Score-Based P-Values
$VAR1 = '0.226054953353292'; $VAR2 = '0.215442742091867';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '4.76897406578376e-10'; $VAR2 = '1.7769045039041e-08'; $VAR3 = '1.81184078467745e-15'; $VAR4 = '1.45522365752504e-123'; $VAR5 = '3.79204331834031e-19'; $VAR6 = '0.0111263911688578'; $VAR7 = '7.32416221000225e-08'; $VAR8 = '0.000872656500994629'; $VAR9 = '0.00407795271582521'; $VAR10 = '0.00126359558373031'; $VAR11 = '0.0103557534642961'; $VAR12 = '0.0709677733279701'; $VAR13 = '0.000173019667366433'; $VAR14 = '0.0067227870468645'; $VAR15 = '0.000634992806188351'; $VAR16 = '5.48203414786321e-05'; $VAR17 = '0.02318073654778'; $VAR18 = '0.0240518400235042'; $VAR19 = '0.0075642636593967'; $VAR20 = '0.0229539583361126'; $VAR21 = '0.0685402895929734'; $VAR22 = '0.00219558111518386'; $VAR23 = '0.0260420094513328'; $VAR24 = '0.000868031257710802'; $VAR25 = '0.0380753377596049'; $VAR26 = '0.0338109141752696'; $VAR27 = '0.0740168860135546'; $VAR28 = '0.036953148978046'; $VAR29 = '0.00884645534105849'; $VAR30 = '0.056176668062792'; $VAR31 = '0.059031156951241';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.512018422033578'; $VAR2 = '0.487981577966422';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.753336113879494'; $VAR3 = 27; $VAR4 = '0.246663886120506';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.584905660377358
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2643
Author Z-Score-Based P-Values
$VAR1 = '0.252480876728353'; $VAR2 = '0.217760934288176';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '2.19328726063781e-07'; $VAR2 = '1.76342010198875e-06'; $VAR3 = '2.83948489953573e-19'; $VAR4 = '4.11653145779777e-117'; $VAR5 = '1.1214752555941e-25'; $VAR6 = '0.00760324347226868'; $VAR7 = '3.33459266979064e-11'; $VAR8 = '0.000171567767451384'; $VAR9 = '0.00144718013557148'; $VAR10 = '0.00142116761102997'; $VAR11 = '0.00955514482597885'; $VAR12 = '0.0441998984248714'; $VAR13 = '0.000181527199593295'; $VAR14 = '0.00181822966852035'; $VAR15 = '0.00112070981172207'; $VAR16 = '1.23295087329799e-05'; $VAR17 = '0.0168528109057176'; $VAR18 = '0.0241766954597852'; $VAR19 = '0.0176282777800643'; $VAR20 = '0.00730233713179615'; $VAR21 = '0.0872387090970119'; $VAR22 = '0.00750766729928694'; $VAR23 = '0.0126626222389455'; $VAR24 = '0.000647531437600019'; $VAR25 = '0.0613590348091112'; $VAR26 = '0.0566331792073538'; $VAR27 = '0.0828744625003197'; $VAR28 = '0.0315063331496577'; $VAR29 = '0.0333527923695836'; $VAR30 = '0.0529185064767758'; $VAR31 = '0.057662397372166';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.53691711543591'; $VAR2 = '0.46308288456409';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.743203769411583'; $VAR3 = 21; $VAR4 = '0.256796230588417';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.679245283018868
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2730

Author Z-Score-Based P-Values
$VAR1 = '0.190703040169211'; $VAR2 = '0.158583146687558';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.2014275188451e-07'; $VAR2 = '1.36454326186215e-06'; $VAR3 = '3.88237021124273e-14'; $VAR4 = '2.67512953125071e-110'; $VAR5 = '4.02056055893798e-26'; $VAR6 = '0.00357033961946333'; $VAR7 = '4.31502627501893e-09'; $VAR8 = '5.89284347125693e-06'; $VAR9 = '0.000622587762079627'; $VAR10 = '0.00207243130705441'; $VAR11 = '0.00122984616440866'; $VAR12 = '0.0406377767719782'; $VAR13 = '6.23787797459393e-05'; $VAR14 = '0.000178577433715478'; $VAR15 = '3.29833013396996e-05'; $VAR16 = '2.96989312353001e-08'; $VAR17 = '0.00304930931390873'; $VAR18 = '0.0091005853807573'; $VAR19 = '0.000417358392381115'; $VAR20 = '0.0144175781676503'; $VAR21 = '0.0200243230989701'; $VAR22 = '0.000194337446503943'; $VAR23 = '0.00545464879849368'; $VAR24 = '0.000483487811288848'; $VAR25 = '0.0274247864055204'; $VAR26 = '0.0686966419254583'; $VAR27 = '0.0264512343981799'; $VAR28 = '0.0397837691888955'; $VAR29 = '0.00832434992226174'; $VAR30 = '0.0673420290828053'; $VAR31 = '0.0709020233791717';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.545979335413606'; $VAR2 = '0.454020664586394';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.728973046555505'; $VAR3 = 31; $VAR4 = '0.271026953444495';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.0803858520900322
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.925595238095238

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.148936170212766
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.87037037037037

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2605

Author Z-Score-Based P-Values
$VAR1 = '0.181890682269645'; $VAR2 = '0.12570901876214';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '3.9055204285035e-06'; $VAR2 = '0.000146808106781283'; $VAR3 = '2.34866312681801e-15'; $VAR4 = '3.59062150975805e-158'; $VAR5 = '2.33597736863807e-21'; $VAR6 = '0.0197033531508571'; $VAR7 = '8.28968274915299e-07'; $VAR8 = '3.05218624949821e-05'; $VAR9 = '0.000362507873210065'; $VAR10 = '0.000156229498705136'; $VAR11 = '0.00431465382454606'; $VAR12 = '0.0281160325154627'; $VAR13 = '1.30202636817733e-05'; $VAR14 = '0.000377036669313158'; $VAR15 = '0.000163453803215133'; $VAR16 = '3.95076313190027e-07'; $VAR17 = '0.00252423059684523'; $VAR18 = '0.0178881440609563'; $VAR19 = '0.00565261268103382'; $VAR20 = '0.0056291230721241'; $VAR21 = '0.0417904271814922'; $VAR22 = '0.000619519563940175'; $VAR23 = '0.00110734343882726'; $VAR24 = '0.00110737930529545'; $VAR25 = '0.0215321305910872'; $VAR26 = '0.0690148091852812'; $VAR27 = '0.0332595390973659'; $VAR28 = '0.0249792396020865'; $VAR29 = '0.00914940684640318'; $VAR30 = '0.0538826016393864'; $VAR31 = '0.0549215692275283';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.591322688739705'; $VAR2 = '0.408677311260295';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.7249370319275'; $VAR3 = 26; $VAR4 = '0.2750629680725';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.0987654320987654
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.910112359550562

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.142857142857143
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.875

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.105263157894737
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.904761904761905
testsize: 2791

Author Z-Score-Based P-Values
$VAR1 = '0.199410524550246'; $VAR2 = '0.133774051741372';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.41248278568602e-11'; $VAR2 = '3.77115647161422e-07'; $VAR3 = '3.1486481145703e-35'; $VAR4 = '2.96202050207631e-154'; $VAR5 = '4.43819686475751e-30'; $VAR6 = '0.00190400739364846'; $VAR7 = '1.6695721331588e-09'; $VAR8 = '9.80894552907376e-05'; $VAR9 = '0.000120358941803783'; $VAR10 = '0.000799286515586051'; $VAR11 = '0.0054683659243096'; $VAR12 = '0.0377451488217736'; $VAR13 = '8.65011943741479e-09'; $VAR14 = '0.000967647396410183'; $VAR15 = '0.000270530133514713'; $VAR16 = '2.06575733086713e-07'; $VAR17 = '0.00921204260625999'; $VAR18 = '0.0271933643896423'; $VAR19 = '0.00133735180442687'; $VAR20 = '0.00621175144558119'; $VAR21 = '0.0330448231326169'; $VAR22 = '0.00201387851489804'; $VAR23 = '0.00561294230792398'; $VAR24 = '0.00127896678321842'; $VAR25 = '0.0166570555629183'; $VAR26 = '0.0483421634261017'; $VAR27 = '0.0326255586294508'; $VAR28 = '0.0132031472533751'; $VAR29 = '0.00645902794415837'; $VAR30 = '0.0344154256515041'; $VAR31 = '0.0395958416574097';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.598498666323957'; $VAR2 = '0.401501333676043';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.804877340298658'; $VAR3 = 26; $VAR4 = '0.195122659701342';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.0863787375415282
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.920489296636086

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.130434782608696
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.884615384615385

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.111111111111111
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.9
testsize: 2565

Author Z-Score-Based P-Values
$VAR1 = '0.257101857212189'; $VAR2 = '0.186972536124841';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '8.02836967580171e-05'; $VAR2 = '0.000335964760263897'; $VAR3 = '3.53554190254568e-24'; $VAR4 = '1.88605766320716e-69'; $VAR5 = '1.65208253448319e-24'; $VAR6 = '0.0344432134025509'; $VAR7 = '2.94855136539371e-07'; $VAR8 = '0.000760061936984685'; $VAR9 = '0.00143261809001223'; $VAR10 = '0.000386589038253753'; $VAR11 = '0.0211284507366979'; $VAR12 = '0.0354891143698519'; $VAR13 = '3.88863399525457e-05'; $VAR14 = '0.00137889768831634'; $VAR15 = '4.1145242060167e-05'; $VAR16 = '9.41352046283826e-06'; $VAR17 = '0.00610316799621315'; $VAR18 = '0.0394075532410048'; $VAR19 = '0.0112870583761921'; $VAR20 = '0.0122672165680148'; $VAR21 = '0.0551878765308043'; $VAR22 = '0.00043060736842499'; $VAR23 = '0.0125423049937546'; $VAR24 = '0.00329664618848263'; $VAR25 = '0.0457311934774323'; $VAR26 = '0.0858014761138946'; $VAR27 = '0.070843787861264'; $VAR28 = '0.0633959461169282'; $VAR29 = '0.0161937552135232'; $VAR30 = '0.0620055407173652'; $VAR31 = '0.0690484613898007';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.578961230527565'; $VAR2 = '0.421038769472435';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.749779404937129'; $VAR3 = 26; $VAR4 = '0.250220595062871';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.618181818181818
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2950
Author Z-Score-Based P-Values
$VAR1 = '0.241094572560669'; $VAR2 = '0.150320856259565';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '3.24849733811322e-10'; $VAR2 = '4.24532999417154e-07'; $VAR3 = '5.52865323125685e-20'; $VAR4 = '1.42740864930126e-155'; $VAR5 = '5.70220775046828e-22'; $VAR6 = '0.00437374450569061'; $VAR7 = '5.2595237422303e-11'; $VAR8 = '3.18114958900466e-05'; $VAR9 = '8.33752422871333e-05'; $VAR10 = '0.00148408368624282'; $VAR11 = '0.00798308270155096'; $VAR12 = '0.0292425021881517'; $VAR13 = '3.65352537827437e-08'; $VAR14 = '0.000992534834268629'; $VAR15 = '3.93527559565562e-06'; $VAR16 = '1.54375033963006e-06'; $VAR17 = '0.000678309703815061'; $VAR18 = '0.00830071765273271'; $VAR19 = '0.00154161160424775'; $VAR20 = '0.00735916854106059'; $VAR21 = '0.0267589651113194'; $VAR22 = '0.000346095833862584'; $VAR23 = '0.00122882360432009'; $VAR24 = '0.000442749571285781'; $VAR25 = '0.0360281597780977'; $VAR26 = '0.0712784791400622'; $VAR27 = '0.027405853214621'; $VAR28 = '0.0645208889875454'; $VAR29 = '0.0157654280742535'; $VAR30 = '0.0394053612804192'; $VAR31 = '0.0813938196451024';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.615955720721977'; $VAR2 = '0.384044279278023';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.747606978693462'; $VAR3 = 31; $VAR4 = '0.252393021306538';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.5625
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2508

Author Z-Score-Based P-Values
$VAR1 = '0.155308913382829'; $VAR2 = '0.122338622312782';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '8.90443772772925e-09'; $VAR2 = '3.08271872816204e-06'; $VAR3 = '5.66202903795835e-24'; $VAR4 = '1.05809496349683e-145'; $VAR5 = '2.64873824360513e-24'; $VAR6 = '0.00195549571209614'; $VAR7 = '2.02158647354889e-10'; $VAR8 = '4.68037907546316e-08'; $VAR9 = '1.99406075904108e-05'; $VAR10 = '7.83824767789752e-06'; $VAR11 = '0.00355166444676072'; $VAR12 = '0.0175793648433034'; $VAR13 = '1.18302885687422e-07'; $VAR14 = '0.000144707342281549'; $VAR15 = '6.69434888081828e-05'; $VAR16 = '4.85091417711935e-05'; $VAR17 = '0.00664488128616478'; $VAR18 = '0.0224917495926547'; $VAR19 = '0.00469436273905087'; $VAR20 = '0.00443564360280784'; $VAR21 = '0.0217027269174289'; $VAR22 = '0.00291095728787806'; $VAR23 = '0.0013058471388811'; $VAR24 = '9.56309909917882e-06'; $VAR25 = '0.0239444809285274'; $VAR26 = '0.0103580031442419'; $VAR27 = '0.013905997657327'; $VAR28 = '0.00605638405901143'; $VAR29 = '0.00626745764200286'; $VAR30 = '0.0193008075772635'; $VAR31 = '0.0305822845844629';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.559374362872417'; $VAR2 = '0.440625637127583';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.835482879668978'; $VAR3 = 31; $VAR4 = '0.164517120331022';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.112094395280236
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.89920424403183

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.196078431372549
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.836065573770492

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.285714285714286
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.777777777777778
testsize: 2995

Author Z-Score-Based P-Values
$VAR1 = '0.160883155233886'; $VAR2 = '0.158251902750248';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '4.32915584578988e-13'; $VAR2 = '4.8084993053945e-08'; $VAR3 = '1.61919230081726e-21'; $VAR4 = '5.0410234815854e-198'; $VAR5 = '1.87777393813928e-21'; $VAR6 = '0.00183062857622707'; $VAR7 = '3.33389215775664e-11'; $VAR8 = '5.2870910907026e-06'; $VAR9 = '6.13560225538656e-05'; $VAR10 = '7.60581322369122e-05'; $VAR11 = '0.0051919236020378'; $VAR12 = '0.0234292960957333'; $VAR13 = '3.37554591070377e-12'; $VAR14 = '9.96132521937398e-05'; $VAR15 = '8.7093076430754e-06'; $VAR16 = '1.85867096929698e-07'; $VAR17 = '0.0031743004318929'; $VAR18 = '0.0177799963727359'; $VAR19 = '0.000162797806593295'; $VAR20 = '0.00689622338475213'; $VAR21 = '0.0323741494493247'; $VAR22 = '0.000811326207307927'; $VAR23 = '0.00045694492176769'; $VAR24 = '0.000185176799338835'; $VAR25 = '0.0454110939443966'; $VAR26 = '0.0382583499130797'; $VAR27 = '0.0375766792148196'; $VAR28 = '0.0311829886039334'; $VAR29 = '0.00853039879755626'; $VAR30 = '0.0261586247822968'; $VAR31 = '0.0682987637369337';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.504122474823448'; $VAR2 = '0.495877525176552';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.701988865248878'; $VAR3 = 31; $VAR4 = '0.298011134751122';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.0633802816901408
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.940397350993378

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.0930232558139535
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.914893617021277

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.0833333333333333
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.923076923076923
testsize: 2456

Author Z-Score-Based P-Values
$VAR1 = '0.179721726270258'; $VAR2 = '0.14413672472864';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '6.32781555841838e-07'; $VAR2 = '3.19931141201756e-05'; $VAR3 = '3.52265323845035e-17'; $VAR4 = '7.18314172129271e-12'; $VAR5 = '8.33180235013597e-15'; $VAR6 = '0.00265177363444159'; $VAR7 = '4.38665882598876e-08'; $VAR8 = '1.2227805583432e-06'; $VAR9 = '4.99186638514863e-05'; $VAR10 = '5.2127485159233e-05'; $VAR11 = '0.00805021830047482'; $VAR12 = '0.0182264518986783'; $VAR13 = '0.000138363324340092'; $VAR14 = '0.00151218131041748'; $VAR15 = '0.000266189144569873'; $VAR16 = '3.61108566093068e-07'; $VAR17 = '0.00148279296114005'; $VAR18 = '0.0193990337638951'; $VAR19 = '0.00778450930593055'; $VAR20 = '0.00690478395052133'; $VAR21 = '0.0545491803125878'; $VAR22 = '0.00115102649361816'; $VAR23 = '0.00298063817247642'; $VAR24 = '6.4482059355513e-05'; $VAR25 = '0.0544290081468161'; $VAR26 = '0.0723581426931773'; $VAR27 = '0.0260024471340154'; $VAR28 = '0.0400555617610038'; $VAR29 = '0.0289375074159003'; $VAR30 = '0.0237523051161733'; $VAR31 = '0.0397794375553339';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.554939127621745'; $VAR2 = '0.445060872378255';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.712955489104634'; $VAR3 = 26; $VAR4 = '0.287044510895366';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.121037463976945
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.892030848329049

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.207547169811321
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.828125

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.19047619047619
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.84
testsize: 2968

Author Z-Score-Based P-Values
$VAR1 = '0.225255079406892'; $VAR2 = '0.189876710220672';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '7.14707590472176e-12'; $VAR2 = '7.96957494002621e-08'; $VAR3 = '2.22051673920348e-24'; $VAR4 = '8.37247310891541e-125'; $VAR5 = '1.62629118512444e-22'; $VAR6 = '0.00376080407769135'; $VAR7 = '6.35937406138198e-12'; $VAR8 = '0.000110726100567764'; $VAR9 = '0.0005592784537154'; $VAR10 = '0.00218516861214914'; $VAR11 = '0.0213369691290229'; $VAR12 = '0.0570045938409989'; $VAR13 = '1.98847943210655e-07'; $VAR14 = '0.00109551216684276'; $VAR15 = '4.00239177872742e-05'; $VAR16 = '2.66181432226341e-06'; $VAR17 = '0.00150355824060563'; $VAR18 = '0.0387313211545982'; $VAR19 = '0.000124189131471716'; $VAR20 = '0.0166162213448346'; $VAR21 = '0.0463842647282721'; $VAR22 = '0.00119464974982544'; $VAR23 = '0.00306359739212619'; $VAR24 = '0.000803596127941846'; $VAR25 = '0.0291630119684044'; $VAR26 = '0.0434895394665983'; $VAR27 = '0.0362740990536202'; $VAR28 = '0.054350900437661'; $VAR29 = '0.00799812151885311'; $VAR30 = '0.0484271192379094'; $VAR31 = '0.0430261678994459';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.54261100940735'; $VAR2 = '0.45738899059265';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.798042018595638'; $VAR3 = 12; $VAR4 = '0.201957981404362';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.638297872340426
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2530

Author Z-Score-Based P-Values
$VAR1 = '0.139567084757271'; $VAR2 = '0.124999839982222';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '3.31640519720306e-07'; $VAR2 = '0.000628861845363769'; $VAR3 = '4.6179431753136e-26'; $VAR4 = '5.55565206019717e-137'; $VAR5 = '2.71123179286302e-19'; $VAR6 = '0.00685210842081383'; $VAR7 = '4.12903545640034e-08'; $VAR8 = '9.80577104090778e-05'; $VAR9 = '0.000760076174837656'; $VAR10 = '0.000560545060401231'; $VAR11 = '0.00653233322179344'; $VAR12 = '0.0334824593683271'; $VAR13 = '0.000513774483242262'; $VAR14 = '0.00119010384507957'; $VAR15 = '8.21219050426404e-05'; $VAR16 = '3.58135685497157e-07'; $VAR17 = '0.00573529451967972'; $VAR18 = '0.0245308191819229'; $VAR19 = '0.00626640323662177'; $VAR20 = '0.00791689739475128'; $VAR21 = '0.0451731195647038'; $VAR22 = '0.000646060991380377'; $VAR23 = '0.00527013279303462'; $VAR24 = '0.00434318444489505'; $VAR25 = '0.0474093195743284'; $VAR26 = '0.0554123324805188'; $VAR27 = '0.0949218835962184'; $VAR28 = '0.0502686248404935'; $VAR29 = '0.015230697667076'; $VAR30 = '0.0672237687521496'; $VAR31 = '0.0428756579055285';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.527530358886305'; $VAR2 = '0.472469641113695';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.595196804938283'; $VAR3 = 27; $VAR4 = '0.404803195061717';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.106508875739645
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.903743315508021

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.0980392156862745
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.910714285714286

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2993

Author Z-Score-Based P-Values
$VAR1 = '0.252711779064049'; $VAR2 = '0.163502544232799';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '3.69402026487963e-11'; $VAR2 = '2.89264546808572e-07'; $VAR3 = '4.77937436504435e-26'; $VAR4 = '8.4510223177509e-136'; $VAR5 = '2.53045089922826e-18'; $VAR6 = '0.00225951643482234'; $VAR7 = '2.59703993252664e-10'; $VAR8 = '6.45811044818327e-06'; $VAR9 = '0.00012789383908458'; $VAR10 = '0.000703816712970031'; $VAR11 = '0.00539186943473158'; $VAR12 = '0.0391933272707275'; $VAR13 = '3.41373139686018e-10'; $VAR14 = '0.000294410946985751'; $VAR15 = '7.86457741865095e-06'; $VAR16 = '9.76569672971885e-08'; $VAR17 = '0.00205931743452121'; $VAR18 = '0.0139555329792373'; $VAR19 = '6.31303313715566e-05'; $VAR20 = '0.00366222190271369'; $VAR21 = '0.0375567162794949'; $VAR22 = '0.0012475767402639'; $VAR23 = '0.00161673179890879'; $VAR24 = '0.000868318551979292'; $VAR25 = '0.019407396512384'; $VAR26 = '0.0345178668930412'; $VAR27 = '0.0263788180395499'; $VAR28 = '0.0531859223936632'; $VAR29 = '0.00637499899272464'; $VAR30 = '0.0500159213435417'; $VAR31 = '0.0655298465335527';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.607167425335847'; $VAR2 = '0.392832574664153';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.794087758285865'; $VAR3 = 31; $VAR4 = '0.205912241714135';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.638297872340426
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2389

Author Z-Score-Based P-Values
$VAR1 = '0.223844639253187'; $VAR2 = '0.188865031363306';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.93343667347168e-08'; $VAR2 = '2.14273837924385e-05'; $VAR3 = '4.02398736644695e-13'; $VAR4 = '1.77509599846861e-11'; $VAR5 = '2.74401486969604e-10'; $VAR6 = '0.0352110035852533'; $VAR7 = '1.10864125185955e-08'; $VAR8 = '4.8573350755777e-05'; $VAR9 = '0.00550976250534327'; $VAR10 = '0.00339966970280443'; $VAR11 = '0.0221995533192088'; $VAR12 = '0.0688339593684157'; $VAR13 = '0.000185708061373932'; $VAR14 = '0.00307929674283604'; $VAR15 = '0.00108293364392569'; $VAR16 = '4.69356096832783e-05'; $VAR17 = '0.0144118587013662'; $VAR18 = '0.0398165104045971'; $VAR19 = '0.0100392281472334'; $VAR20 = '0.0413527882187629'; $VAR21 = '0.0577764838940414'; $VAR22 = '0.00312799884113795'; $VAR23 = '0.00740231675866614'; $VAR24 = '0.00561953423916598'; $VAR25 = '0.047044105104669'; $VAR26 = '0.0620767814826837'; $VAR27 = '0.0701429894404'; $VAR28 = '0.0620289672696725'; $VAR29 = '0.0231086193667408'; $VAR30 = '0.0777960506801152'; $VAR31 = '0.110840726415398';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.542377984307502'; $VAR2 = '0.457622015692498';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.668821114439895'; $VAR3 = 31; $VAR4 = '0.331178885560105';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.661016949152542
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0604229607250755
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.916246717297182

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.689655172413793
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.489398528775422

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2973

Author Z-Score-Based P-Values
$VAR1 = '0.219842919870661'; $VAR2 = '0.17806022986692';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '5.77179298247612e-11'; $VAR2 = '2.17226762781944e-07'; $VAR3 = '1.08425934322281e-26'; $VAR4 = '1.8655898773777e-140'; $VAR5 = '9.93209127073757e-23'; $VAR6 = '0.0143169980652173'; $VAR7 = '1.46611171716491e-09'; $VAR8 = '0.000286766815435569'; $VAR9 = '0.00253478205904059'; $VAR10 = '0.00414899588618171'; $VAR11 = '0.0228514461255316'; $VAR12 = '0.043587430324525'; $VAR13 = '3.76465969254767e-08'; $VAR14 = '0.00224082187936981'; $VAR15 = '0.000119557481543297'; $VAR16 = '5.5473154843945e-05'; $VAR17 = '0.00424168462540106'; $VAR18 = '0.0168509693953233'; $VAR19 = '2.20407978730479e-05'; $VAR20 = '0.00942614677748562'; $VAR21 = '0.0440222885589518'; $VAR22 = '0.00152841048536893'; $VAR23 = '0.0153425877853572'; $VAR24 = '0.00433662670316969'; $VAR25 = '0.018698755637074'; $VAR26 = '0.0408185384468675'; $VAR27 = '0.034834319928196'; $VAR28 = '0.0477405054520152'; $VAR29 = '0.0116634382467782'; $VAR30 = '0.0493118392904572'; $VAR31 = '0.0371162473064829';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.552503592936242'; $VAR2 = '0.447496407063758';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.816790015364586'; $VAR3 = 30; $VAR4 = '0.183209984635414';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.638297872340426
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2457

Author Z-Score-Based P-Values
$VAR1 = '0.245095943113752'; $VAR2 = '0.189020325730579';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.71185755777537e-06'; $VAR2 = '2.7209426947865e-05'; $VAR3 = '4.28748189713255e-18'; $VAR4 = '7.15336739848734e-11'; $VAR5 = '2.23880734416725e-20'; $VAR6 = '0.0317348191239962'; $VAR7 = '2.3611938160381e-07'; $VAR8 = '7.01262701916513e-06'; $VAR9 = '0.000862631967479878'; $VAR10 = '0.00157236834901765'; $VAR11 = '0.0173189702542009'; $VAR12 = '0.0493423769609406'; $VAR13 = '0.000770615759740708'; $VAR14 = '0.00120787808317574'; $VAR15 = '0.00273867633488305'; $VAR16 = '3.64532083337877e-05'; $VAR17 = '0.0133109824871301'; $VAR18 = '0.0253483624607136'; $VAR19 = '0.0154624335561596'; $VAR20 = '0.0130039553684762'; $VAR21 = '0.0704850400762727'; $VAR22 = '0.00495983365097591'; $VAR23 = '0.00689940312344058'; $VAR24 = '0.00160333360903485'; $VAR25 = '0.0520130711319549'; $VAR26 = '0.101862359616201'; $VAR27 = '0.0191856473129302'; $VAR28 = '0.0637785037718839'; $VAR29 = '0.0304221511633904'; $VAR30 = '0.0391198681613289'; $VAR31 = '0.0637273342037196';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.564585943222598'; $VAR2 = '0.435414056777402';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.706413252501171'; $VAR3 = 26; $VAR4 = '0.293586747498829';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.684210526315789
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 3035

Author Z-Score-Based P-Values
$VAR1 = '0.15653885305756'; $VAR2 = '0.212633277904173';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '2.66680649868137e-09'; $VAR2 = '5.87532787231065e-09'; $VAR3 = '9.65837012522411e-16'; $VAR4 = '4.72775515153457e-253'; $VAR5 = '1.32276371776584e-25'; $VAR6 = '0.00270357030523673'; $VAR7 = '2.40504705930196e-11'; $VAR8 = '8.33421793234973e-06'; $VAR9 = '0.000984086746217626'; $VAR10 = '0.00227410422264707'; $VAR11 = '0.0103856489308293'; $VAR12 = '0.102972186632579'; $VAR13 = '1.24973722147678e-06'; $VAR14 = '0.00208682330618955'; $VAR15 = '2.47643997891323e-05'; $VAR16 = '1.28571608849042e-05'; $VAR17 = '0.00274685922027331'; $VAR18 = '0.0533522091774369'; $VAR19 = '0.000203951581585507'; $VAR20 = '0.0136660700276849'; $VAR21 = '0.0920724984840676'; $VAR22 = '0.00141141491469188'; $VAR23 = '0.0148206436888798'; $VAR24 = '0.000349026439116107'; $VAR25 = '0.0495795692901992'; $VAR26 = '0.034369851770995'; $VAR27 = '0.038629570883065'; $VAR28 = '0.0473281646724328'; $VAR29 = '0.0158426768651858'; $VAR30 = '0.0416034620935646'; $VAR31 = '0.0579830812786944';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.424026734222215'; $VAR2 = '0.575973265777785';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.673731293646255'; $VAR3 = 12; $VAR4 = '0.326268706353746';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.69047619047619
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.099290780141844
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.874278383579217

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.130434782608696
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.841109709962169

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.545454545454545
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.558669001751314
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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Peter Kirby
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Re: Origen -- A Basic Stylometric Analysis

Post by Peter Kirby » Thu Jun 04, 2015 11:59 am

testsize: 2697

Author Z-Score-Based P-Values
$VAR1 = '0.222597801660579'; $VAR2 = '0.199203007393366';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.30871551253942e-13'; $VAR2 = '7.10457705786061e-09'; $VAR3 = '7.57683220028987e-18'; $VAR4 = '3.43108365631426e-146'; $VAR5 = '1.99172088524925e-22'; $VAR6 = '0.0155693955389111'; $VAR7 = '4.85142719168894e-13'; $VAR8 = '0.000231956384316171'; $VAR9 = '0.00117725286300414'; $VAR10 = '0.00139115126178064'; $VAR11 = '0.00900451089204805'; $VAR12 = '0.081021881103009'; $VAR13 = '0.000243596453505791'; $VAR14 = '0.0043071603326311'; $VAR15 = '0.000159668926164939'; $VAR16 = '5.9511163606789e-06'; $VAR17 = '0.0094771590596667'; $VAR18 = '0.0224302015931499'; $VAR19 = '0.00281404234166606'; $VAR20 = '0.0229487510509203'; $VAR21 = '0.0956643599733586'; $VAR22 = '0.00248858123529677'; $VAR23 = '0.0099187668899167'; $VAR24 = '0.000488476302394237'; $VAR25 = '0.0711150718777905'; $VAR26 = '0.0469041124474898'; $VAR27 = '0.0548283865023113'; $VAR28 = '0.0376176266928364'; $VAR29 = '0.0224576080960513'; $VAR30 = '0.063802638913293'; $VAR31 = '0.077777368203426';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.527732040533167'; $VAR2 = '0.472267959466833';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.699416482681373'; $VAR3 = 21; $VAR4 = '0.300583517318627';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.711538461538462
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2744

Author Z-Score-Based P-Values
$VAR1 = '0.211385332927581'; $VAR2 = '0.167969766340861';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.83036056748414e-08'; $VAR2 = '1.45268502275051e-06'; $VAR3 = '2.4422875833489e-22'; $VAR4 = '8.94091472130958e-123'; $VAR5 = '9.84843011818628e-23'; $VAR6 = '0.0143374805600514'; $VAR7 = '1.43415134686865e-07'; $VAR8 = '1.48790937000557e-05'; $VAR9 = '0.000681598911950381'; $VAR10 = '0.00209417902481489'; $VAR11 = '0.00287552357822088'; $VAR12 = '0.065215696655644'; $VAR13 = '3.01099816932179e-08'; $VAR14 = '0.000534324512390403'; $VAR15 = '2.2851971249991e-05'; $VAR16 = '7.08922972339577e-08'; $VAR17 = '0.00150035803944805'; $VAR18 = '0.0138942123786963'; $VAR19 = '0.000933256675760682'; $VAR20 = '0.0160320613326848'; $VAR21 = '0.0417579762379109'; $VAR22 = '0.000294519771537095'; $VAR23 = '0.000532699554703521'; $VAR24 = '0.001058025972586'; $VAR25 = '0.057400845371713'; $VAR26 = '0.063152710039305'; $VAR27 = '0.0369362893761503'; $VAR28 = '0.0563302407566078'; $VAR29 = '0.0122112180953473'; $VAR30 = '0.0881012176956467'; $VAR31 = '0.118784101477401';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.557222858833905'; $VAR2 = '0.442777141166095';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.640232895296718'; $VAR3 = 31; $VAR4 = '0.359767104703282';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.588235294117647
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2902

Author Z-Score-Based P-Values
$VAR1 = '0.150962286115815'; $VAR2 = '0.204374884929969';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '2.32464108919336e-15'; $VAR2 = '1.63441581172071e-06'; $VAR3 = '5.25525060761541e-29'; $VAR4 = '1.5249304337048e-130'; $VAR5 = '2.63477681008557e-22'; $VAR6 = '0.00169955095918136'; $VAR7 = '4.50953478121786e-19'; $VAR8 = '2.20943773566662e-05'; $VAR9 = '1.20189087973435e-06'; $VAR10 = '0.000262790601691977'; $VAR11 = '0.00675945502661594'; $VAR12 = '0.0743074196584258'; $VAR13 = '2.67528451894441e-06'; $VAR14 = '0.000242821272809098'; $VAR15 = '4.93515673121621e-09'; $VAR16 = '1.11566376789472e-09'; $VAR17 = '0.000712513091045168'; $VAR18 = '0.0112719826900237'; $VAR19 = '0.00153543048482798'; $VAR20 = '0.034685384769449'; $VAR21 = '0.0247498375872074'; $VAR22 = '8.49164431553838e-06'; $VAR23 = '0.0066313826448156'; $VAR24 = '5.97603239541707e-05'; $VAR25 = '0.0618248257653413'; $VAR26 = '0.0201914013352022'; $VAR27 = '0.0542298903997231'; $VAR28 = '0.00501207540360253'; $VAR29 = '0.0101814577523719'; $VAR30 = '0.0816225844687606'; $VAR31 = '0.0504016044635669';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.424842370618085'; $VAR2 = '0.575157629381915';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.714603822752835'; $VAR3 = 30; $VAR4 = '0.285396177247165';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.636363636363636
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.187713310580205
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.772213855421687

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.354166666666667
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.64244741873805

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.181818181818182
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.777777777777778
testsize: 2713

Author Z-Score-Based P-Values
$VAR1 = '0.266233514983627'; $VAR2 = '0.215810243621102';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.11975720196912e-07'; $VAR2 = '3.77117382094587e-07'; $VAR3 = '1.7331558777521e-13'; $VAR4 = '3.87463962882708e-125'; $VAR5 = '4.51428216709175e-25'; $VAR6 = '0.0109247703302048'; $VAR7 = '5.29009190078799e-10'; $VAR8 = '2.06497259832211e-05'; $VAR9 = '0.000338445009495215'; $VAR10 = '0.000954037283420969'; $VAR11 = '0.00381968107678028'; $VAR12 = '0.0865808831106399'; $VAR13 = '0.000280912568322011'; $VAR14 = '0.000401270550101285'; $VAR15 = '6.89377025765488e-05'; $VAR16 = '7.21957552408057e-07'; $VAR17 = '0.0033812396370981'; $VAR18 = '0.0209354852184092'; $VAR19 = '0.00031456730677473'; $VAR20 = '0.0380939514391146'; $VAR21 = '0.0664159005016103'; $VAR22 = '0.000908405229933309'; $VAR23 = '0.0111781198604418'; $VAR24 = '0.000171035899496089'; $VAR25 = '0.0574037544088765'; $VAR26 = '0.0604959167298381'; $VAR27 = '0.0668903941690054'; $VAR28 = '0.0579029847138556'; $VAR29 = '0.020255952684773'; $VAR30 = '0.0773020062224721'; $VAR31 = '0.0795377132797202';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.55230154987223'; $VAR2 = '0.44769845012777';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.754599348614149'; $VAR3 = 12; $VAR4 = '0.245400651385851';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.653846153846154
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2760

Author Z-Score-Based P-Values
$VAR1 = '0.205321244833035'; $VAR2 = '0.151399613176372';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '2.15397927276014e-08'; $VAR2 = '3.01750935303857e-06'; $VAR3 = '4.6231671873204e-15'; $VAR4 = '1.09129218508682e-150'; $VAR5 = '5.91419578693346e-25'; $VAR6 = '0.00448204073920136'; $VAR7 = '1.49019909648016e-11'; $VAR8 = '6.01623693781112e-06'; $VAR9 = '1.46191828057394e-05'; $VAR10 = '0.00064039215171009'; $VAR11 = '0.00498838961515004'; $VAR12 = '0.0277944429525989'; $VAR13 = '1.58705126342031e-09'; $VAR14 = '0.00063352358843742'; $VAR15 = '3.9407856793108e-05'; $VAR16 = '2.39985286843933e-06'; $VAR17 = '0.00368188988629682'; $VAR18 = '0.0118726700522156'; $VAR19 = '0.000847441469102485'; $VAR20 = '0.00925642610586808'; $VAR21 = '0.0313461534659896'; $VAR22 = '0.000549161820513353'; $VAR23 = '0.000266445876982333'; $VAR24 = '0.000625666380578336'; $VAR25 = '0.0225662292943061'; $VAR26 = '0.0871744078440986'; $VAR27 = '0.0184638933826182'; $VAR28 = '0.0762083507155386'; $VAR29 = '0.0169165995270867'; $VAR30 = '0.0271322547451391'; $VAR31 = '0.0517539521509525';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.575579588978284'; $VAR2 = '0.424420411021716';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.701963406819162'; $VAR3 = 26; $VAR4 = '0.298036593180838';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.705882352941177
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2661

Author Z-Score-Based P-Values
$VAR1 = '0.178340166674639'; $VAR2 = '0.232731083005759';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '7.63083167942658e-09'; $VAR2 = '3.86220058594106e-09'; $VAR3 = '6.86086730583577e-11'; $VAR4 = '2.58748111119123e-132'; $VAR5 = '1.27946051768998e-22'; $VAR6 = '0.044404864543518'; $VAR7 = '9.9806845877373e-12'; $VAR8 = '0.00406414557768344'; $VAR9 = '0.0160239280142219'; $VAR10 = '0.0143163744607881'; $VAR11 = '0.033783538467605'; $VAR12 = '0.112447303436811'; $VAR13 = '0.00122679635049483'; $VAR14 = '0.00744837864851997'; $VAR15 = '0.000268402885121144'; $VAR16 = '2.09168724307309e-05'; $VAR17 = '0.00499557574921125'; $VAR18 = '0.0300498611916052'; $VAR19 = '0.000171317016503124'; $VAR20 = '0.0214717917901839'; $VAR21 = '0.0601732101000052'; $VAR22 = '0.000768181974385945'; $VAR23 = '0.0232947662460589'; $VAR24 = '0.00388412748998099'; $VAR25 = '0.0796621380166007'; $VAR26 = '0.0390692836235192'; $VAR27 = '0.0948021165642216'; $VAR28 = '0.034885724915183'; $VAR29 = '0.00491317237906924'; $VAR30 = '0.0611191673965197'; $VAR31 = '0.0743066875803243';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.43384247089354'; $VAR2 = '0.56615752910646';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.674234228290769'; $VAR3 = 12; $VAR4 = '0.325765771709231';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.708333333333333
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.196875
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.782508630609896

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.339622641509434
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.675918979744936

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.75
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.485714285714286
testsize: 2784

Author Z-Score-Based P-Values
$VAR1 = '0.213806999254601'; $VAR2 = '0.17246864563844';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '4.06919809783192e-11'; $VAR2 = '8.128189523065e-07'; $VAR3 = '3.51664542837462e-43'; $VAR4 = '1.89598880641131e-123'; $VAR5 = '3.02134280841241e-21'; $VAR6 = '0.010147334033294'; $VAR7 = '2.20184295229639e-09'; $VAR8 = '0.000111705355577716'; $VAR9 = '0.000176528231919706'; $VAR10 = '0.00146108212212615'; $VAR11 = '0.0227426927002366'; $VAR12 = '0.0472248024696001'; $VAR13 = '1.27892396210868e-09'; $VAR14 = '0.00396420585515162'; $VAR15 = '0.000614338507672407'; $VAR16 = '0.000135691052533411'; $VAR17 = '0.0211720511815855'; $VAR18 = '0.0310773503352578'; $VAR19 = '0.000651864599865321'; $VAR20 = '0.00732292705800222'; $VAR21 = '0.059693312026335'; $VAR22 = '0.00230268071813699'; $VAR23 = '0.00409360220177373'; $VAR24 = '0.00108664506354494'; $VAR25 = '0.0420423981854162'; $VAR26 = '0.0780866569460212'; $VAR27 = '0.050636892579823'; $VAR28 = '0.049071728457516'; $VAR29 = '0.017847297424797'; $VAR30 = '0.0328297782208475'; $VAR31 = '0.0517482462658999';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.55350887916789'; $VAR2 = '0.44649112083211';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.732482514480029'; $VAR3 = 26; $VAR4 = '0.267517485519971';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.686274509803922
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2861

Author Z-Score-Based P-Values
$VAR1 = '0.156203232427654'; $VAR2 = '0.182838741387029';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.36298402906433e-18'; $VAR2 = '1.22469211289353e-07'; $VAR3 = '1.16699833062716e-21'; $VAR4 = '5.00777998127367e-178'; $VAR5 = '7.06483596782506e-22'; $VAR6 = '0.00178507682003726'; $VAR7 = '8.19565019123523e-16'; $VAR8 = '7.43557295215419e-05'; $VAR9 = '0.000115667989724189'; $VAR10 = '0.00210813540253708'; $VAR11 = '0.0119886410086919'; $VAR12 = '0.0379219919073562'; $VAR13 = '3.39005362975578e-12'; $VAR14 = '0.00131118081429713'; $VAR15 = '1.85379055286336e-06'; $VAR16 = '1.09024860650913e-06'; $VAR17 = '0.00497675877958751'; $VAR18 = '0.0321728200722229'; $VAR19 = '0.000276750776415063'; $VAR20 = '0.0376749205340594'; $VAR21 = '0.0368068169317819'; $VAR22 = '7.27809311157133e-05'; $VAR23 = '0.00234506709587248'; $VAR24 = '0.00163008559844766'; $VAR25 = '0.0210787320209237'; $VAR26 = '0.025599103683782'; $VAR27 = '0.0275360133003658'; $VAR28 = '0.0206503095776995'; $VAR29 = '0.0052543456802823'; $VAR30 = '0.0375938800174622'; $VAR31 = '0.0632948374564667';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.460719452137902'; $VAR2 = '0.539280547862098';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.742843549612901'; $VAR3 = 31; $VAR4 = '0.257156450387099';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.866666666666667
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.535714285714286

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.916666666666667
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.521739130434783
testsize: 2842

Author Z-Score-Based P-Values
$VAR1 = '0.17975341089564'; $VAR2 = '0.166768276375714';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.0671671894838e-17'; $VAR2 = '1.17088461782565e-06'; $VAR3 = '1.55001523125846e-22'; $VAR4 = '1.87902898550201e-146'; $VAR5 = '1.29455655936804e-27'; $VAR6 = '0.00224081172945369'; $VAR7 = '2.0982548567386e-12'; $VAR8 = '2.52200344160604e-05'; $VAR9 = '0.000196265306530422'; $VAR10 = '0.00765065806031575'; $VAR11 = '0.00920464892689399'; $VAR12 = '0.0928347481667366'; $VAR13 = '3.8350825950024e-08'; $VAR14 = '0.000944176071284172'; $VAR15 = '7.38413037334808e-05'; $VAR16 = '4.3974088764892e-07'; $VAR17 = '0.00456572750772908'; $VAR18 = '0.0166066599421206'; $VAR19 = '0.000142113186157386'; $VAR20 = '0.0332597969992157'; $VAR21 = '0.0860047431329474'; $VAR22 = '0.000257226074071868'; $VAR23 = '0.00277878089133528'; $VAR24 = '0.00120673466249571'; $VAR25 = '0.0457936414373655'; $VAR26 = '0.0706011485914523'; $VAR27 = '0.0321275042910082'; $VAR28 = '0.046785038954114'; $VAR29 = '0.0142121424301611'; $VAR30 = '0.0688422773992501'; $VAR31 = '0.0943757063293121';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.518736395147697'; $VAR2 = '0.481263604852303';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.655725348388049'; $VAR3 = 31; $VAR4 = '0.344274651611951';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.108303249097473
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.90228013029316

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.958333333333333
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.51063829787234

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2759

Author Z-Score-Based P-Values
$VAR1 = '0.265964384757232'; $VAR2 = '0.269945598856614';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '4.17068426997577e-10'; $VAR2 = '4.33452750107512e-08'; $VAR3 = '1.25639008183383e-12'; $VAR4 = '1.33482912170593e-142'; $VAR5 = '1.29529802651762e-22'; $VAR6 = '0.0137676218664374'; $VAR7 = '1.22743603507666e-11'; $VAR8 = '1.7275464130146e-05'; $VAR9 = '0.000156661309125406'; $VAR10 = '0.00066094252390572'; $VAR11 = '0.00693783304690299'; $VAR12 = '0.129962637155938'; $VAR13 = '9.25476214949448e-07'; $VAR14 = '0.000808664172360228'; $VAR15 = '0.000583952959058625'; $VAR16 = '7.17188072100544e-06'; $VAR17 = '0.0166459654573771'; $VAR18 = '0.0207737388679014'; $VAR19 = '0.00243070471200665'; $VAR20 = '0.0454821263610448'; $VAR21 = '0.0785251808905541'; $VAR22 = '0.00232316138531145'; $VAR23 = '0.00600303642466782'; $VAR24 = '0.000158990715201127'; $VAR25 = '0.0420805016833762'; $VAR26 = '0.0306549927403843'; $VAR27 = '0.0216581307041802'; $VAR28 = '0.0322295632258834'; $VAR29 = '0.0181896798789009'; $VAR30 = '0.0632445780453045'; $VAR31 = '0.0678167283281158';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.496285557070112'; $VAR2 = '0.503714442929888';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.675018853195464'; $VAR3 = 12; $VAR4 = '0.324981146804536';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.64
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0707395498392283
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.900470503076366

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.431372549019608
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.597364568081991

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2810

Author Z-Score-Based P-Values
$VAR1 = '0.220375732824442'; $VAR2 = '0.252103309709833';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '4.36744883568963e-15'; $VAR2 = '1.0224949492317e-08'; $VAR3 = '3.39991081999791e-23'; $VAR4 = '1.2315301235281e-152'; $VAR5 = '5.05324520666735e-21'; $VAR6 = '0.00941812501322015'; $VAR7 = '4.16550258240413e-13'; $VAR8 = '2.26673954052285e-05'; $VAR9 = '7.01124484036031e-05'; $VAR10 = '0.000223259175033475'; $VAR11 = '0.00835490732815377'; $VAR12 = '0.101301891457683'; $VAR13 = '3.1543775227811e-08'; $VAR14 = '0.000558283316786509'; $VAR15 = '0.00015729769569659'; $VAR16 = '2.92328944639498e-06'; $VAR17 = '0.0132597561979273'; $VAR18 = '0.0161072298687936'; $VAR19 = '0.000304609321071032'; $VAR20 = '0.0437740751302334'; $VAR21 = '0.07051496145156'; $VAR22 = '0.00179585828928957'; $VAR23 = '0.00564303612859554'; $VAR24 = '3.89618621800874e-05'; $VAR25 = '0.0336168388806488'; $VAR26 = '0.0237546455835871'; $VAR27 = '0.0136747644219723'; $VAR28 = '0.00932645141770722'; $VAR29 = '0.0243278427788321'; $VAR30 = '0.0541124753134033'; $VAR31 = '0.0610340332193567';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.466424355337317'; $VAR2 = '0.533575644662683';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.713354837101943'; $VAR3 = 12; $VAR4 = '0.286645162898057';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.76
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0657894736842105
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.920331421287444

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.4
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.655172413793103

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2806

Author Z-Score-Based P-Values
$VAR1 = '0.244846974205916'; $VAR2 = '0.253863034636836';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '3.03515766109245e-13'; $VAR2 = '2.70024481573577e-07'; $VAR3 = '8.04247767215803e-25'; $VAR4 = '1.80895515420027e-175'; $VAR5 = '8.95393304268679e-22'; $VAR6 = '0.00994838616151906'; $VAR7 = '4.04525765393248e-10'; $VAR8 = '7.76913998332245e-05'; $VAR9 = '0.000318342166946102'; $VAR10 = '0.00116592528371053'; $VAR11 = '0.0133075195681536'; $VAR12 = '0.103140678469898'; $VAR13 = '1.14542975794127e-07'; $VAR14 = '0.00203079314906419'; $VAR15 = '0.000663907149485642'; $VAR16 = '1.33696632443284e-06'; $VAR17 = '0.0207163663941692'; $VAR18 = '0.0239820966922852'; $VAR19 = '0.000145860578006182'; $VAR20 = '0.0292876040596071'; $VAR21 = '0.0649254963378195'; $VAR22 = '0.0033811205852672'; $VAR23 = '0.00444127079028606'; $VAR24 = '0.000863488527090442'; $VAR25 = '0.0662195989562516'; $VAR26 = '0.0722518897119798'; $VAR27 = '0.0476772366659955'; $VAR28 = '0.0395897694486605'; $VAR29 = '0.032703211904969'; $VAR30 = '0.0631394407318397'; $VAR31 = '0.0983068204362464';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.490960618123705'; $VAR2 = '0.509039381876295';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.711093541374283'; $VAR3 = 12; $VAR4 = '0.288906458625717';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.64
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0625
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.911032028469751

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.38
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.627450980392157

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2811

Author Z-Score-Based P-Values
$VAR1 = '0.177073947713698'; $VAR2 = '0.175763323314063';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.74277334511118e-13'; $VAR2 = '3.19422982715273e-08'; $VAR3 = '1.38926989278408e-24'; $VAR4 = '1.44666676194117e-208'; $VAR5 = '2.3093023915238e-17'; $VAR6 = '0.00468801409815357'; $VAR7 = '4.19870681390707e-11'; $VAR8 = '1.56545277527245e-05'; $VAR9 = '3.91177232355589e-05'; $VAR10 = '0.000449233686317346'; $VAR11 = '0.0055966931601607'; $VAR12 = '0.0579941869755026'; $VAR13 = '4.70084668044146e-12'; $VAR14 = '0.000451302692959224'; $VAR15 = '7.4159851248301e-05'; $VAR16 = '5.06556939881191e-07'; $VAR17 = '0.00640033757035992'; $VAR18 = '0.013582728552306'; $VAR19 = '3.36183818675787e-05'; $VAR20 = '0.0114332085007875'; $VAR21 = '0.01958514878205'; $VAR22 = '0.00024939249696353'; $VAR23 = '0.00150562731404961'; $VAR24 = '7.654165836805e-05'; $VAR25 = '0.0323983530922663'; $VAR26 = '0.0292417665297502'; $VAR27 = '0.0173027762456211'; $VAR28 = '0.0180712611827206'; $VAR29 = '0.00343204972558424'; $VAR30 = '0.0608171933161604'; $VAR31 = '0.0918860726158615';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.501857264675891'; $VAR2 = '0.498142735324109';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.658365312051686'; $VAR3 = 31; $VAR4 = '0.341634687948315';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.14336917562724
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.874608150470219

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2734

Author Z-Score-Based P-Values
$VAR1 = '0.214207223982267'; $VAR2 = '0.197638265778523';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.16493318077347e-08'; $VAR2 = '1.30059601697217e-08'; $VAR3 = '4.21570539175227e-17'; $VAR4 = '1.63225592090691e-178'; $VAR5 = '6.10379317453382e-27'; $VAR6 = '0.0163606964170947'; $VAR7 = '2.17647326420549e-11'; $VAR8 = '6.23328564007021e-05'; $VAR9 = '0.00587840353159136'; $VAR10 = '0.008976154775583'; $VAR11 = '0.00874278692429095'; $VAR12 = '0.136091327266255'; $VAR13 = '0.000788531125170671'; $VAR14 = '0.00266441751168933'; $VAR15 = '0.000532152438176668'; $VAR16 = '4.1514485452347e-06'; $VAR17 = '0.0106376126636345'; $VAR18 = '0.0352686871336818'; $VAR19 = '5.04559164885771e-05'; $VAR20 = '0.0505919738390256'; $VAR21 = '0.10804426781042'; $VAR22 = '0.00294399488611317'; $VAR23 = '0.0157656090713663'; $VAR24 = '0.00133870966922023'; $VAR25 = '0.0667766816303062'; $VAR26 = '0.0459044155685348'; $VAR27 = '0.0588633115078513'; $VAR28 = '0.0465464818006844'; $VAR29 = '0.00710977049704436'; $VAR30 = '0.0709745632290042'; $VAR31 = '0.0771797592257851';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.520115502798594'; $VAR2 = '0.479884497201406';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.611499029096173'; $VAR3 = 12; $VAR4 = '0.388500970903827';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.588235294117647
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0520833333333333
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.91866028708134

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.6
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.495049504950495

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 1896

Author Z-Score-Based P-Values
$VAR1 = '0.226302499921107'; $VAR2 = '0.221209686353686';
Great compatibility. Z-Score-Based P-Value > 0.20.
Good indicator. 6.2% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '2.09556953743295e-06'; $VAR2 = '3.79105709925132e-05'; $VAR3 = '1.0910880139444e-07'; $VAR4 = '6.9772609305258e-07'; $VAR5 = '1.55536061844903e-14'; $VAR6 = '0.0433628201030253'; $VAR7 = '4.02175710219767e-07'; $VAR8 = '0.00598886094063245'; $VAR9 = '0.023784546606421'; $VAR10 = '0.0220167308610799'; $VAR11 = '0.0430722469655691'; $VAR12 = '0.202392534684046'; $VAR13 = '0.00532282271024919'; $VAR14 = '0.0228947498023875'; $VAR15 = '0.00257422139935432'; $VAR16 = '0.000506137534747458'; $VAR17 = '0.0235410772209306'; $VAR18 = '0.0477898456556736'; $VAR19 = '0.0243652895775541'; $VAR20 = '0.108448359252886'; $VAR21 = '0.137143540755871'; $VAR22 = '0.00710998231218076'; $VAR23 = '0.04628033277884'; $VAR24 = '0.0120190304780721'; $VAR25 = '0.110840379555831'; $VAR26 = '0.0724030205488767'; $VAR27 = '0.120609679468761'; $VAR28 = '0.116200207920479'; $VAR29 = '0.0353625139981805'; $VAR30 = '0.125037508200042'; $VAR31 = '0.124992755385173';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.505690139535434'; $VAR2 = '0.494309860464566';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.527886916463918'; $VAR3 = 12; $VAR4 = '0.472113083536082';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.693333333333333
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0588235294117647
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.921793534932221

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.648648648648649
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.516648764769066

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 3594

Author Z-Score-Based P-Values
$VAR1 = '0.272460682258884'; $VAR2 = '0.239257937897167';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '4.90588863029835e-13'; $VAR2 = '7.93896235349513e-10'; $VAR3 = '0'; $VAR4 = '1.87633874441465e-196'; $VAR5 = '2.65203687643121e-173'; $VAR6 = '0.00162502577130421'; $VAR7 = '2.12660688893407e-13'; $VAR8 = '2.03002603411224e-13'; $VAR9 = '4.7549540338814e-05'; $VAR10 = '2.9136355062987e-05'; $VAR11 = '0.00400079010079808'; $VAR12 = '0.0542881003927424'; $VAR13 = '7.05123679388876e-28'; $VAR14 = '0.000166102913910592'; $VAR15 = '1.48419958046398e-07'; $VAR16 = '9.29320335488492e-11'; $VAR17 = '0.000451153213088301'; $VAR18 = '0.007237187606851'; $VAR19 = '0.000281886214418579'; $VAR20 = '0.000378464371460314'; $VAR21 = '0.026261750831343'; $VAR22 = '0.000133368252718863'; $VAR23 = '0.00214521612850657'; $VAR24 = '8.35099728128158e-05'; $VAR25 = '0.0168988262971514'; $VAR26 = '0.0292859369204889'; $VAR27 = '0.0108715324803041'; $VAR28 = '0.0118586501365319'; $VAR29 = '0.00228081099731836'; $VAR30 = '0.0362427303626797'; $VAR31 = '0.0419842178072552';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.532442384402185'; $VAR2 = '0.467557615597815';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.833853702675847'; $VAR3 = 12; $VAR4 = '0.166146297324153';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.615384615384615
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0688073394495413
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.899432697266632

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.789473684210526
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.438040345821326

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2701

Author Z-Score-Based P-Values
$VAR1 = '0.245719503700012'; $VAR2 = '0.226781717734216';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '2.59391008090181e-09'; $VAR2 = '2.87186378804248e-08'; $VAR3 = '1.0092070121971e-18'; $VAR4 = '1.3661019845111e-156'; $VAR5 = '8.10757075734585e-36'; $VAR6 = '0.00460322989460068'; $VAR7 = '1.25700246578334e-10'; $VAR8 = '7.13558732228173e-06'; $VAR9 = '0.000212263106646468'; $VAR10 = '0.000119143837558156'; $VAR11 = '0.00575966794369456'; $VAR12 = '0.0524990175276304'; $VAR13 = '5.13825636986473e-05'; $VAR14 = '0.000801238830860317'; $VAR15 = '1.84475984606935e-05'; $VAR16 = '4.59836859928935e-07'; $VAR17 = '0.00191346289560997'; $VAR18 = '0.023267412876268'; $VAR19 = '0.00427407284602335'; $VAR20 = '0.0154658189998029'; $VAR21 = '0.0488046842330197'; $VAR22 = '0.000922193184702465'; $VAR23 = '0.00443879190241972'; $VAR24 = '0.000291969446335249'; $VAR25 = '0.0397552777667525'; $VAR26 = '0.0434895656116776'; $VAR27 = '0.0496568602986865'; $VAR28 = '0.0231066277663623'; $VAR29 = '0.0113086631332286'; $VAR30 = '0.0462023417395782'; $VAR31 = '0.0578225448953991';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.520039933344842'; $VAR2 = '0.479960066655158';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.809507298369491'; $VAR3 = 31; $VAR4 = '0.190492701630509';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.692307692307692
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0513698630136986
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.930924548352816

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.576923076923077
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.545454545454546

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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Peter Kirby
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Re: Origen -- A Basic Stylometric Analysis

Post by Peter Kirby » Thu Jun 04, 2015 11:59 am

testsize: 2745

Author Z-Score-Based P-Values
$VAR1 = '0.20650471032503'; $VAR2 = '0.185659325362226';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.38578031704976e-09'; $VAR2 = '3.01854592710687e-08'; $VAR3 = '2.60417732321432e-17'; $VAR4 = '2.41832809212395e-208'; $VAR5 = '1.33067498278457e-25'; $VAR6 = '0.0071380706738939'; $VAR7 = '2.42454250200359e-11'; $VAR8 = '0.000278031506497221'; $VAR9 = '0.00133440300972603'; $VAR10 = '0.00838474193961095'; $VAR11 = '0.0236694645823106'; $VAR12 = '0.0724705638510556'; $VAR13 = '7.70780505393542e-07'; $VAR14 = '0.00850543583505427'; $VAR15 = '0.00232238255090351'; $VAR16 = '0.000267923723509362'; $VAR17 = '0.0143583455670001'; $VAR18 = '0.0167436749071979'; $VAR19 = '2.58866209047679e-05'; $VAR20 = '0.0159529174650909'; $VAR21 = '0.0540450459027598'; $VAR22 = '0.00253477460273775'; $VAR23 = '0.0130338642593729'; $VAR24 = '0.000265584202421482'; $VAR25 = '0.0665937666082537'; $VAR26 = '0.0334535554278996'; $VAR27 = '0.0308289615626847'; $VAR28 = '0.0250139837351561'; $VAR29 = '0.0118982107545928'; $VAR30 = '0.0658292296638276'; $VAR31 = '0.0706065501693847';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.526577379700657'; $VAR2 = '0.473422620299343';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.740225853115165'; $VAR3 = 12; $VAR4 = '0.259774146884835';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.627450980392157
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0559440559440559
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.918138041733547

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.64
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.495049504950495

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2660

Author Z-Score-Based P-Values
$VAR1 = '0.184182677485118'; $VAR2 = '0.201788246280727';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.22032799954374e-08'; $VAR2 = '8.22776642486117e-09'; $VAR3 = '7.25072194382047e-12'; $VAR4 = '1.61352283595054e-116'; $VAR5 = '2.15910592039149e-22'; $VAR6 = '0.010828715685558'; $VAR7 = '2.98208195607346e-13'; $VAR8 = '3.54839293427937e-05'; $VAR9 = '0.00388600614088979'; $VAR10 = '0.0128093709711304'; $VAR11 = '0.0342380657565155'; $VAR12 = '0.0953865161761842'; $VAR13 = '6.65445999118156e-05'; $VAR14 = '0.00222017216135362'; $VAR15 = '0.000182317264348594'; $VAR16 = '1.83227265377087e-05'; $VAR17 = '0.00467757702600125'; $VAR18 = '0.0268543250349816'; $VAR19 = '0.000525521418093082'; $VAR20 = '0.0394591976781269'; $VAR21 = '0.0571494855976664'; $VAR22 = '0.000976996720938535'; $VAR23 = '0.00910545852063292'; $VAR24 = '0.000380406686807436'; $VAR25 = '0.0575891249541014'; $VAR26 = '0.0325850816325613'; $VAR27 = '0.0178366012801161'; $VAR28 = '0.0283824555296122'; $VAR29 = '0.00793329223327551'; $VAR30 = '0.063739346562364'; $VAR31 = '0.0962093554149561';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.477193141100067'; $VAR2 = '0.522806858899933';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.677147215724221'; $VAR3 = 31; $VAR4 = '0.32285278427578';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.692307692307692
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.06875
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.909665192672142

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.415094339622642
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.625163826998689

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2758

Author Z-Score-Based P-Values
$VAR1 = '0.192475486378743'; $VAR2 = '0.173545478672029';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '7.48087045539434e-09'; $VAR2 = '3.27955483227216e-08'; $VAR3 = '3.25890728776592e-13'; $VAR4 = '2.07450983130113e-125'; $VAR5 = '4.55358267203754e-34'; $VAR6 = '0.0103828754075679'; $VAR7 = '5.40982393239886e-11'; $VAR8 = '0.000529959505773622'; $VAR9 = '0.00168534015125217'; $VAR10 = '0.00802082724727835'; $VAR11 = '0.0333303944421516'; $VAR12 = '0.0719442681287253'; $VAR13 = '1.21304593912445e-07'; $VAR14 = '0.00705311028471067'; $VAR15 = '0.00056846849625907'; $VAR16 = '8.90099399877348e-05'; $VAR17 = '0.013251814789193'; $VAR18 = '0.0330305740601258'; $VAR19 = '0.000216439374756327'; $VAR20 = '0.0164746391510279'; $VAR21 = '0.048184439340763'; $VAR22 = '0.00161198091654432'; $VAR23 = '0.0161398140281886'; $VAR24 = '0.00180550850229847'; $VAR25 = '0.0411179978029165'; $VAR26 = '0.0280038623889408'; $VAR27 = '0.0325495812452047'; $VAR28 = '0.0196858858963779'; $VAR29 = '0.0137081395708717'; $VAR30 = '0.0457079898453672'; $VAR31 = '0.0479511628358174';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.525859185011558'; $VAR2 = '0.474140814988442';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.727916440045354'; $VAR3 = 12; $VAR4 = '0.272083559954646';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.146853146853147
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.871951219512195

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.166666666666667
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.857142857142857
testsize: 2802

Author Z-Score-Based P-Values
$VAR1 = '0.180622398224812'; $VAR2 = '0.18328249517033';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '6.19588633194317e-15'; $VAR2 = '2.12701054055324e-08'; $VAR3 = '2.95056791347438e-28'; $VAR4 = '1.39657432285605e-209'; $VAR5 = '4.66395927564619e-29'; $VAR6 = '0.00498410370158104'; $VAR7 = '3.8709651545256e-15'; $VAR8 = '6.60934093623712e-06'; $VAR9 = '4.84745492442259e-06'; $VAR10 = '0.0003961943016654'; $VAR11 = '0.0210857668262935'; $VAR12 = '0.0826560315920076'; $VAR13 = '2.46922752674795e-14'; $VAR14 = '0.000612544895783008'; $VAR15 = '1.11475411960797e-05'; $VAR16 = '4.50196310810992e-05'; $VAR17 = '0.0151654363500234'; $VAR18 = '0.0150532997077785'; $VAR19 = '0.000140079396543002'; $VAR20 = '0.0127982214523908'; $VAR21 = '0.030946407931935'; $VAR22 = '0.000933799233870319'; $VAR23 = '0.00274385226791827'; $VAR24 = '1.22950030087523e-05'; $VAR25 = '0.0333760713598579'; $VAR26 = '0.00624967317397243'; $VAR27 = '0.00881104765308202'; $VAR28 = '0.00288576971845608'; $VAR29 = '0.00403350546835289'; $VAR30 = '0.0375893858371141'; $VAR31 = '0.0502355806075191';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.496345065711125'; $VAR2 = '0.503654934288875';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.689191210471452'; $VAR3 = 12; $VAR4 = '0.310808789528549';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.190789473684211
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.839779005524862

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.98
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.505050505050505

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2858

Author Z-Score-Based P-Values
$VAR1 = '0.170922983217221'; $VAR2 = '0.16738184713487';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.20243058135099e-17'; $VAR2 = '6.9080582627835e-06'; $VAR3 = '4.06942351776646e-21'; $VAR4 = '8.26338548423407e-219'; $VAR5 = '7.01253352127742e-21'; $VAR6 = '0.00166676397197575'; $VAR7 = '2.76740448040943e-13'; $VAR8 = '5.32857295280413e-06'; $VAR9 = '9.70184529134292e-07'; $VAR10 = '0.000266206592355996'; $VAR11 = '0.00244301453769887'; $VAR12 = '0.0647277255211669'; $VAR13 = '6.2441893432331e-08'; $VAR14 = '0.000135003240042063'; $VAR15 = '1.86605859383998e-07'; $VAR16 = '6.00964471909548e-08'; $VAR17 = '0.00490221315285924'; $VAR18 = '0.0108690454200211'; $VAR19 = '0.00274213283175001'; $VAR20 = '0.0316854805632665'; $VAR21 = '0.0386898611939269'; $VAR22 = '0.000319739106159062'; $VAR23 = '0.0028925919646471'; $VAR24 = '4.22826862949226e-05'; $VAR25 = '0.0502517654996968'; $VAR26 = '0.0225889769799462'; $VAR27 = '0.073654014401427'; $VAR28 = '0.0148448441501076'; $VAR29 = '0.0161203679861639'; $VAR30 = '0.0627072857049756'; $VAR31 = '0.0867534612390848';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.505233646943003'; $VAR2 = '0.494766353056997';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.663324051904963'; $VAR3 = 31; $VAR4 = '0.336675948095036';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.979591836734694
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.141818181818182
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.873535834822315

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.494845360824742

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 5558

Author Z-Score-Based P-Values
$VAR1 = '0.270211878591424'; $VAR2 = '0.248106189377349';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '0'; $VAR2 = '7.0778141347076e-75'; $VAR3 = '0'; $VAR4 = '1.00000000000001e-99'; $VAR5 = '0'; $VAR6 = '5.93492092370307e-32'; $VAR7 = '3.28279906063784e-38'; $VAR8 = '3.85306613178778e-28'; $VAR9 = '1.18118618636026e-15'; $VAR10 = '1.16664578174833e-11'; $VAR11 = '5.96745250123984e-06'; $VAR12 = '0.00872271699316587'; $VAR13 = '0'; $VAR14 = '1.35792716231359e-07'; $VAR15 = '7.03068068233732e-12'; $VAR16 = '3.40935545904207e-14'; $VAR17 = '2.36832372674363e-06'; $VAR18 = '0.00126764461224063'; $VAR19 = '2.17356478292939e-24'; $VAR20 = '1.77141016853119e-05'; $VAR21 = '0.0145822343092266'; $VAR22 = '2.38291509767304e-06'; $VAR23 = '5.58399412521133e-05'; $VAR24 = '4.50199479560805e-09'; $VAR25 = '0.0308377203201564'; $VAR26 = '0.0208164545326839'; $VAR27 = '0.00201554763384921'; $VAR28 = '0.00633114441360349'; $VAR29 = '0.000693041882816342'; $VAR30 = '0.01824150792437'; $VAR31 = '0.0275261429487867';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.521324443985432'; $VAR2 = '0.478675556014568';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.897565981048812'; $VAR3 = 25; $VAR4 = '0.102434018951188';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.56
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0676691729323308
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.892189746046957

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.75
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.427480916030534

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2769

Author Z-Score-Based P-Values
$VAR1 = '0.198470872767768'; $VAR2 = '0.188889566877452';
Good compatibility. Z-Score-Based P-Value > 0.10.
Good indicator. 6.2% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.08691399881107e-10'; $VAR2 = '8.17811004899676e-07'; $VAR3 = '7.23004286052669e-13'; $VAR4 = '5.59901238140395e-201'; $VAR5 = '1.20302182053808e-23'; $VAR6 = '0.0039664988879333'; $VAR7 = '2.76015387053398e-11'; $VAR8 = '2.00458207373161e-06'; $VAR9 = '0.000134365872661809'; $VAR10 = '0.000933346474802028'; $VAR11 = '0.00213911223910176'; $VAR12 = '0.0735283186180975'; $VAR13 = '3.1786990123699e-13'; $VAR14 = '0.000307355220476075'; $VAR15 = '4.10358047653087e-05'; $VAR16 = '2.1984360350772e-07'; $VAR17 = '0.00140299121611973'; $VAR18 = '0.00771872020761925'; $VAR19 = '0.000126455855332242'; $VAR20 = '0.0110008290578257'; $VAR21 = '0.0234765470673113'; $VAR22 = '0.000290356019193571'; $VAR23 = '0.000509237968407342'; $VAR24 = '0.000147675327527348'; $VAR25 = '0.0323737595001482'; $VAR26 = '0.0334382965924875'; $VAR27 = '0.022531064338837'; $VAR28 = '0.0478257393202244'; $VAR29 = '0.00611311285626809'; $VAR30 = '0.0676958672343722'; $VAR31 = '0.124106300801832';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.512367429543258'; $VAR2 = '0.487632570456742';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.615266327035833'; $VAR3 = 31; $VAR4 = '0.384733672964167';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.151408450704225
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.868501529051988

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.0769230769230769
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.928571428571429
testsize: 2783

Author Z-Score-Based P-Values
$VAR1 = '0.190447904757731'; $VAR2 = '0.17876171186298';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.24761037589282e-12'; $VAR2 = '3.19406810855147e-06'; $VAR3 = '1.50767837041673e-28'; $VAR4 = '4.91228308354567e-173'; $VAR5 = '1.98340756271031e-25'; $VAR6 = '0.00345335868231817'; $VAR7 = '2.47596697344528e-12'; $VAR8 = '2.60833061186304e-05'; $VAR9 = '8.20636840512472e-06'; $VAR10 = '0.000749768277590817'; $VAR11 = '0.00937037443518838'; $VAR12 = '0.0655932246329035'; $VAR13 = '4.63158107338367e-07'; $VAR14 = '0.000272715829599449'; $VAR15 = '1.07797771397748e-05'; $VAR16 = '4.20090956167216e-07'; $VAR17 = '0.00435974020560754'; $VAR18 = '0.00917844580209442'; $VAR19 = '0.00182203089685612'; $VAR20 = '0.0160817462577211'; $VAR21 = '0.0315116478025725'; $VAR22 = '0.00107281891319502'; $VAR23 = '0.00373270156169765'; $VAR24 = '0.000289527985157827'; $VAR25 = '0.05701519928644'; $VAR26 = '0.0253640866080443'; $VAR27 = '0.0419349940393177'; $VAR28 = '0.0111690703272566'; $VAR29 = '0.0107104513492154'; $VAR30 = '0.065347976234011'; $VAR31 = '0.05801690947805';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.515825959520926'; $VAR2 = '0.484174040479074';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.743817624969035'; $VAR3 = 12; $VAR4 = '0.256182375030965';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.167259786476868
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.856707317073171

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.166666666666667
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.857142857142857
testsize: 2923

Author Z-Score-Based P-Values
$VAR1 = '0.202904281515499'; $VAR2 = '0.217916846995189';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '2.42522628615081e-13'; $VAR2 = '1.66920786819979e-06'; $VAR3 = '1.65015740342243e-28'; $VAR4 = '2.78381524219076e-181'; $VAR5 = '1.76751933097687e-22'; $VAR6 = '0.00365514154328152'; $VAR7 = '2.17283933826293e-13'; $VAR8 = '2.05693676322389e-05'; $VAR9 = '0.000331837346649977'; $VAR10 = '0.000959820099234402'; $VAR11 = '0.00964529763468187'; $VAR12 = '0.0492629687167762'; $VAR13 = '5.0646553891154e-06'; $VAR14 = '0.00216929294760881'; $VAR15 = '2.51348388000942e-05'; $VAR16 = '4.09584162945783e-07'; $VAR17 = '0.00673605697281752'; $VAR18 = '0.00914068961862072'; $VAR19 = '0.000507622048803823'; $VAR20 = '0.00978335024588295'; $VAR21 = '0.0388888207947382'; $VAR22 = '0.0014093832799713'; $VAR23 = '0.00143200888751747'; $VAR24 = '0.00167560588541534'; $VAR25 = '0.0404359375090452'; $VAR26 = '0.0678295276345993'; $VAR27 = '0.0105259863621854'; $VAR28 = '0.050243095629531'; $VAR29 = '0.0275765006446302'; $VAR30 = '0.0691398228268303'; $VAR31 = '0.0932275909912246';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.482162771231544'; $VAR2 = '0.517837228768456';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.700371982881804'; $VAR3 = 31; $VAR4 = '0.299628017118196';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.583333333333333
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0551724137931034
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.913591359135914

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.333333333333333
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.636363636363636

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2643

Author Z-Score-Based P-Values
$VAR1 = '0.221548639840068'; $VAR2 = '0.249511114441566';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '2.22722449089468e-09'; $VAR2 = '2.67566054488093e-06'; $VAR3 = '6.8506224002872e-13'; $VAR4 = '1.12281065842838e-167'; $VAR5 = '1.42597728225282e-16'; $VAR6 = '0.00655007505186488'; $VAR7 = '1.27142127071176e-10'; $VAR8 = '5.22428380541543e-06'; $VAR9 = '0.000310673136089371'; $VAR10 = '0.000253501047414084'; $VAR11 = '0.00766900749011964'; $VAR12 = '0.0498251491869048'; $VAR13 = '0.000227685214689987'; $VAR14 = '0.000697315409947633'; $VAR15 = '0.000339132904200152'; $VAR16 = '1.38877982989195e-05'; $VAR17 = '0.0189050350090292'; $VAR18 = '0.0237431235890678'; $VAR19 = '0.048879785711726'; $VAR20 = '0.0229078615071978'; $VAR21 = '0.0690022251962132'; $VAR22 = '0.00382945119708941'; $VAR23 = '0.0117861688451691'; $VAR24 = '3.06749528156475e-05'; $VAR25 = '0.059095153113771'; $VAR26 = '0.0292887095226335'; $VAR27 = '0.027200561052787'; $VAR28 = '0.011215715909006'; $VAR29 = '0.0377196898610157'; $VAR30 = '0.0390254689659265'; $VAR31 = '0.0515312425893608';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.470319609829394'; $VAR2 = '0.529680390170606';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.783361584558172'; $VAR3 = 21; $VAR4 = '0.216638415441828';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.730769230769231
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0683229813664596
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.914499252615845

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.415094339622642
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.637745408486384

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2898

Author Z-Score-Based P-Values
$VAR1 = '0.214925215145181'; $VAR2 = '0.220482580287196';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '3.59306377775841e-15'; $VAR2 = '3.13120293617995e-07'; $VAR3 = '2.29828854705077e-18'; $VAR4 = '8.83632229667553e-177'; $VAR5 = '1.31540443492677e-27'; $VAR6 = '0.00638831967611226'; $VAR7 = '2.24033230609224e-14'; $VAR8 = '6.06111354226617e-06'; $VAR9 = '2.44322014698025e-05'; $VAR10 = '0.0011502125557313'; $VAR11 = '0.00573780266091263'; $VAR12 = '0.0589231061880424'; $VAR13 = '2.60597123452406e-07'; $VAR14 = '0.000787775506345926'; $VAR15 = '1.00171816140022e-05'; $VAR16 = '9.2414613382045e-07'; $VAR17 = '0.00613398826130948'; $VAR18 = '0.00858695646358381'; $VAR19 = '0.000441796312271906'; $VAR20 = '0.018924312639649'; $VAR21 = '0.0272705186870095'; $VAR22 = '0.00035390138407159'; $VAR23 = '0.00366395138318754'; $VAR24 = '0.000185230861894504'; $VAR25 = '0.0230837613337857'; $VAR26 = '0.0506039487575072'; $VAR27 = '0.00455850034818977'; $VAR28 = '0.0327468713054121'; $VAR29 = '0.0129824365612989'; $VAR30 = '0.0318225926684153'; $VAR31 = '0.0800240071340677';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.49361820665556'; $VAR2 = '0.50638179334444';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.733702985279699'; $VAR3 = 31; $VAR4 = '0.266297014720301';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.583333333333333
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0612244897959184
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.905013192612137

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.375
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.608695652173913

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2810

Author Z-Score-Based P-Values
$VAR1 = '0.215549344035698'; $VAR2 = '0.210990076061262';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '6.00672403625842e-11'; $VAR2 = '8.3948550570618e-06'; $VAR3 = '1.71992015731287e-20'; $VAR4 = '1.19032168387194e-133'; $VAR5 = '1.78277274198013e-20'; $VAR6 = '0.00569969551847415'; $VAR7 = '8.03267062631664e-11'; $VAR8 = '5.67147172384395e-06'; $VAR9 = '1.2691503961441e-05'; $VAR10 = '0.000424592855679191'; $VAR11 = '0.00742601166468767'; $VAR12 = '0.0533882917371733'; $VAR13 = '1.70252155514101e-06'; $VAR14 = '0.000353225394323231'; $VAR15 = '5.31487612754177e-05'; $VAR16 = '1.00701028796516e-07'; $VAR17 = '0.00876265919748267'; $VAR18 = '0.0225560990138994'; $VAR19 = '0.00195745135359688'; $VAR20 = '0.028243296818707'; $VAR21 = '0.0715717347816721'; $VAR22 = '0.00227298116959987'; $VAR23 = '0.00396241957867008'; $VAR24 = '0.000281882274315607'; $VAR25 = '0.0227061897836432'; $VAR26 = '0.0533930666087991'; $VAR27 = '0.0336281756771142'; $VAR28 = '0.026446332401156'; $VAR29 = '0.0314464499591726'; $VAR30 = '0.048367686406003'; $VAR31 = '0.0746207077767897';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.505344486065789'; $VAR2 = '0.494655513934211';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.742838010640014'; $VAR3 = 31; $VAR4 = '0.257161989359986';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.68
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0573476702508961
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.922224382656037

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.64
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.515151515151515

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2828

Author Z-Score-Based P-Values
$VAR1 = '0.231846500070585'; $VAR2 = '0.228596245844689';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '3.19230639171913e-15'; $VAR2 = '1.99889305831758e-07'; $VAR3 = '1.20548941985076e-19'; $VAR4 = '3.88932098918452e-120'; $VAR5 = '1.54257049029742e-23'; $VAR6 = '0.0154485226987058'; $VAR7 = '1.009376524634e-11'; $VAR8 = '0.000189857023955676'; $VAR9 = '0.000381015255016011'; $VAR10 = '0.00365946736079149'; $VAR11 = '0.00530017141742796'; $VAR12 = '0.0826392720617194'; $VAR13 = '1.61807791444436e-08'; $VAR14 = '0.00105190316463275'; $VAR15 = '2.76628435464504e-05'; $VAR16 = '7.64802475001664e-08'; $VAR17 = '0.00515117728162645'; $VAR18 = '0.0206196505969703'; $VAR19 = '0.000456662588773268'; $VAR20 = '0.0405072330014049'; $VAR21 = '0.0740234368207164'; $VAR22 = '0.000555988647788378'; $VAR23 = '0.00722685533139873'; $VAR24 = '0.000911741736795212'; $VAR25 = '0.0578735795313498'; $VAR26 = '0.0663064761207564'; $VAR27 = '0.0603089716493496'; $VAR28 = '0.0711860757791035'; $VAR29 = '0.024503619068407'; $VAR30 = '0.0504746140713363'; $VAR31 = '0.1057807578343';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.503529487927359'; $VAR2 = '0.496470512072641';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.686693667772226'; $VAR3 = 31; $VAR4 = '0.313306332227774';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.62
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0575539568345324
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.915056275217668

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.64
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.492063492063492

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2704

Author Z-Score-Based P-Values
$VAR1 = '0.197225240870408'; $VAR2 = '0.18335113913973';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '8.55808388029735e-09'; $VAR2 = '1.72946868186922e-07'; $VAR3 = '4.79169067525868e-14'; $VAR4 = '4.39833499440591e-145'; $VAR5 = '1.72315469300929e-31'; $VAR6 = '0.00699522954649141'; $VAR7 = '5.08792228830016e-11'; $VAR8 = '3.9467932391689e-05'; $VAR9 = '0.00164574681075578'; $VAR10 = '0.00334444417722196'; $VAR11 = '0.00686259078443868'; $VAR12 = '0.085245400902457'; $VAR13 = '7.30397902948372e-05'; $VAR14 = '0.00132092322472668'; $VAR15 = '0.000160464604013482'; $VAR16 = '8.39843366683481e-06'; $VAR17 = '0.00697533285755611'; $VAR18 = '0.0267705018002059'; $VAR19 = '0.0025932087657925'; $VAR20 = '0.0558011358507528'; $VAR21 = '0.076585377751591'; $VAR22 = '0.00105768443964989'; $VAR23 = '0.00820554090190395'; $VAR24 = '0.000352833454873269'; $VAR25 = '0.0566207302808971'; $VAR26 = '0.0854547453617295'; $VAR27 = '0.0444031665158362'; $VAR28 = '0.0759794488606747'; $VAR29 = '0.0325431641143609'; $VAR30 = '0.075301139829004'; $VAR31 = '0.0959726612240283';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.518227749355212'; $VAR2 = '0.481772250644788';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.672669345385983'; $VAR3 = 31; $VAR4 = '0.327330654614017';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.144329896907216
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.873873873873874

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 4456

Author Z-Score-Based P-Values
$VAR1 = '0.149420686649992'; $VAR2 = '0.148138423816766';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.07790771338512e-96'; $VAR2 = '2.18640055916822e-17'; $VAR3 = '0'; $VAR4 = '5.8076209824599e-310'; $VAR5 = '1.58625439634737e-49'; $VAR6 = '8.13768672352557e-07'; $VAR7 = '1.22145701107566e-20'; $VAR8 = '1.78222648792311e-26'; $VAR9 = '4.56410519275774e-07'; $VAR10 = '6.9581258971588e-08'; $VAR11 = '0.00036459614327687'; $VAR12 = '0.00925115182518746'; $VAR13 = '3.31216010090939e-38'; $VAR14 = '5.83644890888405e-06'; $VAR15 = '3.6101013294175e-07'; $VAR16 = '1.83492609847905e-14'; $VAR17 = '0.000881192305399562'; $VAR18 = '0.00269289253284677'; $VAR19 = '1.59913026570003e-12'; $VAR20 = '0.000122731918930505'; $VAR21 = '0.0200546933544965'; $VAR22 = '1.2868871613433e-05'; $VAR23 = '0.000242531429136943'; $VAR24 = '2.38322098543662e-07'; $VAR25 = '0.00695225460302281'; $VAR26 = '0.0106128825852456'; $VAR27 = '0.00253326500579767'; $VAR28 = '8.34441695841799e-05'; $VAR29 = '0.00216924031982123'; $VAR30 = '0.0174168760207165'; $VAR31 = '0.00424975141012313';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.502154635479341'; $VAR2 = '0.497845364520659';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.881666036954953'; $VAR3 = 21; $VAR4 = '0.118333963045047';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.105882352941176
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.904255319148936

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.166666666666667
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.857142857142857
testsize: 2546

Author Z-Score-Based P-Values
$VAR1 = '0.208394237969037'; $VAR2 = '0.184503774170152';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.59104954168021e-07'; $VAR2 = '5.72716840929516e-05'; $VAR3 = '1.17342518027491e-37'; $VAR4 = '2.87348027936758e-101'; $VAR5 = '1.04879520055518e-50'; $VAR6 = '0.0469453241129414'; $VAR7 = '6.4562667495016e-08'; $VAR8 = '0.000192757995992967'; $VAR9 = '0.00356275422472701'; $VAR10 = '0.0022507357820478'; $VAR11 = '0.0442009734927342'; $VAR12 = '0.119355050788305'; $VAR13 = '0.00206236276127183'; $VAR14 = '0.00377651768415239'; $VAR15 = '0.000289995337583234'; $VAR16 = '1.2117120527398e-05'; $VAR17 = '0.00771445671335801'; $VAR18 = '0.0721103486898655'; $VAR19 = '0.0189907498716547'; $VAR20 = '0.0650697161544557'; $VAR21 = '0.149847972025204'; $VAR22 = '0.00149175301345584'; $VAR23 = '0.0182172770603211'; $VAR24 = '0.0103969583195449'; $VAR25 = '0.0575991279088333'; $VAR26 = '0.0774736222502127'; $VAR27 = '0.088931438129115'; $VAR28 = '0.0856622290764171'; $VAR29 = '0.0654642058911064'; $VAR30 = '0.115286746077024'; $VAR31 = '0.0862779258753487';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.530402881995776'; $VAR2 = '0.469597118004224';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.581713243596803'; $VAR3 = 21; $VAR4 = '0.418286756403197';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.654545454545455
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.060702875399361
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.915130350036547

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.703703703703704
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.481903817550818

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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Peter Kirby
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Re: Origen -- A Basic Stylometric Analysis

Post by Peter Kirby » Thu Jun 04, 2015 12:33 pm

Four samples were taken from the De principiis, between 3000 and 3500 words in length. Using the same list of 33 words, Origen were selected as the best candidate out of 33, including controls, 4 out of 4 times (100% accuracy).
testsize: 3313
$VAR1 = 235; $VAR2 = 149; $VAR3 = 67; $VAR4 = 257; $VAR5 = 68; $VAR6 = 31; $VAR7 = 8; $VAR8 = 2; $VAR9 = 1; $VAR10 = 85; $VAR11 = 21; $VAR12 = 213; $VAR13 = 7; $VAR14 = 2; $VAR15 = 75; $VAR16 = 35; $VAR17 = 11; $VAR18 = 28; $VAR19 = 21; $VAR20 = 25; $VAR21 = 16; $VAR22 = 37; $VAR23 = 26; $VAR24 = 17; $VAR25 = 14; $VAR26 = 11; $VAR27 = 7; $VAR28 = 10; $VAR29 = 17; $VAR30 = 7; $VAR31 = 12; $VAR32 = 9; $VAR33 = 23;

33 Words
$VAR1 = [ 'O', 'OI', 'H', 'AI', 'TO', 'TA' ]; $VAR2 = [ 'TOU', 'TWN', 'THS' ]; $VAR3 = [ 'TWi', 'TOIS', 'THi', 'TAIS' ]; $VAR4 = [ 'TON', 'TOUS', 'THN', 'TAS', 'TO', 'TA' ]; $VAR5 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR6 = [ 'OUTOS', 'TOUTOU', 'TOUTWi', 'TOUTON', 'AUTOI', 'TOUTWN', 'TOUTOIS', 'TOUTOUS', 'AUTH', 'TAUTHS', 'TAUTHi', 'TAUTHN', 'AUTAI', 'TAUTAIS', 'TAUTAS', 'TOUTO', 'TOUTO', 'TAUTA' ]; $VAR7 = [ 'ODE', 'TOUDE', 'TWiDE', 'TONDE', 'OIDE', 'TWNDE', 'TOISDE', 'TOUSDE', 'HDE', 'THSDE', 'THiDE', 'THNDE', 'AIDE', 'TWNDE', 'TAISDE', 'TASDE', 'TODE', 'TOUDE', 'TODE', 'TADE' ]; $VAR8 = [ 'EKEINOS', 'EKEINOU', 'EKEINWi', 'EKEINON', 'EKEINOI', 'EKEINWN', 'EKEINOIS', 'EKEINOUS', 'EKEINH', 'EKEINHS', 'EKEINHi', 'EKEINHN', 'EKEINAI', 'EKEINAIS', 'EKEINAS', 'EKEINO', 'EKEINOU', 'EKEINWi', 'EKEINO', 'EKEINA', 'EKEINWN', 'EKEINOIS', 'EKEINA' ]; $VAR9 = [ 'DH' ]; $VAR10 = [ 'EIMI', 'EI', 'ESTI', 'ESTIN', 'ESMEN', 'ESTE', 'EISI', 'EISIN', 'HN', 'HSQA', 'HN', 'HMEN', 'HTE', 'HSAN', 'ESOMAI', 'ESHi', 'ESEI', 'ESTAI', 'ESOMEQA', 'ESESQE', 'ESONTAI', 'W', 'HiS', 'Hi', 'WMEN', 'HTE', 'WSI', 'EIHN', 'EIHS', 'EIH', 'EIHMEN', 'EIMEN', 'EIHTE', 'EITE', 'EIHSAN', 'EIEN', 'ESOIMHN', 'ESOIO', 'ESOITO', 'ESOIMEQA', 'ESOISQE', 'ESOINTO', 'ISQI', 'ESTW', 'ESTE', 'ESTWN', 'ONTWN', 'ESTWSAN', 'EINAI', 'ESESQAI', 'WN', 'OUSA', 'ON', 'ESOMENOS', 'ESOMENH', 'ESOMENON' ]; $VAR11 = [ 'LEGW', 'LEGEIS', 'LEGEI', 'LEGETON', 'LEGETON', 'LEGOMEN', 'LEGETE', 'LEGOUSI', 'LEGOUSIN', 'LEGW', 'LEGHiS', 'LEGHi', 'LEGHTON', 'LEGHTON', 'LEGWMEN', 'LEGHTE', 'LEGWSI', 'LEGWSIN', 'LEGOIMI', 'LEGOIS', 'LEGOI', 'LEGOITON', 'LEGOITHN', 'LEGOIMEN', 'LEGOITE', 'LEGOIEN', 'LEGE', 'LEGETW', 'LEGETON', 'LEGETWN', 'LEGETE', 'LEGONTWN', 'LEGOMAI', 'LEGEI', 'LEGHi', 'LEGETAI', 'LEGESQON', 'LEGESQON', 'LEGOMEQA', 'LEGESQE', 'LEGONTAI', 'LEGWMAI', 'LEGHi', 'LEGHTAI', 'LEGHSQON', 'LEGHSQON', 'LEGWMEQA', 'LEGHSQE', 'LEGWNTAI', 'LEGOIMHN', 'LEGOIO', 'LEGOITO', 'LEGOISQON', 'LEGOISQHN', 'LEGOIMEQA', 'LEGOISQE', 'LEGOINTO', 'LEGOU', 'LEGESQW', 'LEGESQON', 'LEGESQWN', 'LEGESQE', 'LEGESQWN', 'LEGEIN', 'LEGESQAI', 'LEGWN', 'LEGOUSA', 'LEGON', 'LEGOMENOS', 'LEGOMENH', 'LEGOMENON', 'ELEGON', 'ELEGOMHN', 'ELEGON', 'ELEGES', 'ELEGE', 'ELEGETON', 'ELEGETHN', 'ELEGOMEN', 'ELEGETE', 'ELEGON', 'ELEGOU', 'ELEGETO', 'ELEGESQON', 'ELEGESQHN', 'ELEGOMEQA', 'ELEGESQE', 'ELEGONTO', 'LECW', 'LECOMAI', 'LEXQHSOMAI', 'LECW', 'LECEIS', 'LECEI', 'LECETON', 'LECETON', 'LECOMEN', 'LECETE', 'LECOUSI', 'LECOUSIN', 'LECOIMI' ]; $VAR12 = [ 'KAI', 'KA' ]; $VAR13 = [ 'TE', 'T' ]; $VAR14 = [ 'OUTE', 'OUT', 'OUQ', 'EITE', 'EIT', 'EIQ', 'MHTE', 'MHT', 'MHQ' ]; $VAR15 = [ 'DE', 'D' ]; $VAR16 = [ 'MH' ]; $VAR17 = [ 'META', 'MET', 'MEQ', 'ME', 'M' ]; $VAR18 = [ 'MEN' ]; $VAR19 = [ 'ALLA', 'ALL' ]; $VAR20 = [ 'GAR' ]; $VAR21 = [ 'EIS' ]; $VAR22 = [ 'EPI', 'EP' ]; $VAR23 = [ 'DIA', 'DI' ]; $VAR24 = [ 'EK', 'EC' ]; $VAR25 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR26 = [ 'OUDE', 'OUD', 'MHDE', 'MHD' ]; $VAR27 = [ 'OUN' ]; $VAR28 = [ 'EPEI' ]; $VAR29 = [ 'OTI', 'OT', 'OQ' ]; $VAR30 = [ 'OUN' ]; $VAR31 = [ 'PERI' ]; $VAR32 = [ 'GIGNOMAI', 'GIGNWMAI', 'GIGNOIMHN', 'GIGESQAI', 'EGIGNOMHN', 'GENHSOMAI', 'GENHSOIMEHN', 'GENHQHSOMAI', 'GENHQHSOIMHN', 'GENHSESQAI', 'GENHSOMENOS', 'GENHSOMENH', 'GENHSOMENON', 'GEGONA', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONOIMI', 'GEGONOIHN', 'GEGENHMAI', 'GEGENHMAI', 'GEGENHMENOS', 'GEGONENAI', 'GEGONWS', 'GEGONUIA', 'GEGONOS', 'EGEGONEIN', 'EGEGONH', 'EGEGENHMHN', 'GIGNEI', 'GIGNHi', 'GIGNOIO', 'GIGNOU', 'EGIGNOU', 'GENHSEI', 'GENHSHi', 'GENHSOIO', 'GENHQHSEI', 'GENHQHSHi', 'GENHQHSOIO', 'EGENOU', 'GENHi', 'GENOIO', 'GENOU', 'EGENHQHS', 'GENHQHiS', 'GENHQEIHS', 'GENHQHTI', 'GEGONAS', 'GEGONWS', 'GEGONHS', 'GEGONWS', 'GEGONOIS', 'GEGONOIHS', 'GEGONWS', 'GEGENHSAI', 'GEGENHMENOS', 'GEGENHSO', 'EGEGONEIS', 'EGEGONHS', 'EGEGENHSO', 'GIGNETAI', 'GIGNHTAI', 'GIGNOITO', 'GIGNESQW', 'EGIGNETO', 'GENHSETAI', 'GENHSOITO', 'GENHQHSETAI', 'GENHQHSOITO', 'EGENETO', 'GENHTAI', 'GENOITO', 'GENESQW', 'EGENHQH', 'GENHQHi', 'GENHQEIN', 'GENHQHTW', 'GEGONE', 'GEGONWS', 'GEGONHi', 'GEGONWS', 'GEGONOI', 'GEGONOIN', 'GEGONWS', 'GEGENHTAI', 'GE' ]; $VAR33 = [ 'AN', 'EAN' ];

Author Z-Score-Based P-Values
$VAR1 = '0.151352459266247'; $VAR2 = '0.129923682964278';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '6.64608040526211e-12'; $VAR2 = '4.66293631019049e-11'; $VAR3 = '1.22780063300272e-13'; $VAR4 = '4.5404876005826e-226'; $VAR5 = '1.01776825607876e-84'; $VAR6 = '0.000286569998225747'; $VAR7 = '2.93483631764519e-12'; $VAR8 = '4.21103937720477e-07'; $VAR9 = '0.000151263479349251'; $VAR10 = '7.60613805470218e-05'; $VAR11 = '0.00570549644508495'; $VAR12 = '0.0385928642546793'; $VAR13 = '3.38249809242336e-08'; $VAR14 = '0.000881414358566214'; $VAR15 = '1.90144796174052e-06'; $VAR16 = '1.22989803853168e-06'; $VAR17 = '0.00464149073516283'; $VAR18 = '0.0126090717923068'; $VAR19 = '0.000552146939638561'; $VAR20 = '0.00219171973012942'; $VAR21 = '0.0192435954189106'; $VAR22 = '0.000435528455686239'; $VAR23 = '0.0118422067409767'; $VAR24 = '1.17272447386915e-05'; $VAR25 = '0.0792245074768452'; $VAR26 = '0.0292998974594568'; $VAR27 = '0.0236149024293444'; $VAR28 = '0.0112123210247236'; $VAR29 = '0.00638491038765489'; $VAR30 = '0.0265072657509189'; $VAR31 = '0.0533608853088417';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.538092061651652'; $VAR2 = '0.461907938348348';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.656407538897339'; $VAR3 = 25; $VAR4 = '0.343592461102661';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.140425531914894
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.876865671641791

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 3511
$VAR1 = 268; $VAR2 = 187; $VAR3 = 69; $VAR4 = 243; $VAR5 = 60; $VAR6 = 51; $VAR7 = 11; $VAR8 = 5; $VAR9 = 2; $VAR10 = 120; $VAR11 = 17; $VAR12 = 174; $VAR13 = 7; $VAR14 = 12; $VAR15 = 58; $VAR16 = 30; $VAR17 = 7; $VAR18 = 24; $VAR19 = 35; $VAR20 = 22; $VAR21 = 58; $VAR22 = 44; $VAR23 = 14; $VAR24 = 23; $VAR25 = 25; $VAR26 = 15; $VAR27 = 11; $VAR28 = 6; $VAR29 = 18; $VAR30 = 11; $VAR31 = 19; $VAR32 = 8; $VAR33 = 17;

33 Words
$VAR1 = [ 'O', 'OI', 'H', 'AI', 'TO', 'TA' ]; $VAR2 = [ 'TOU', 'TWN', 'THS' ]; $VAR3 = [ 'TWi', 'TOIS', 'THi', 'TAIS' ]; $VAR4 = [ 'TON', 'TOUS', 'THN', 'TAS', 'TO', 'TA' ]; $VAR5 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR6 = [ 'OUTOS', 'TOUTOU', 'TOUTWi', 'TOUTON', 'AUTOI', 'TOUTWN', 'TOUTOIS', 'TOUTOUS', 'AUTH', 'TAUTHS', 'TAUTHi', 'TAUTHN', 'AUTAI', 'TAUTAIS', 'TAUTAS', 'TOUTO', 'TOUTO', 'TAUTA' ]; $VAR7 = [ 'ODE', 'TOUDE', 'TWiDE', 'TONDE', 'OIDE', 'TWNDE', 'TOISDE', 'TOUSDE', 'HDE', 'THSDE', 'THiDE', 'THNDE', 'AIDE', 'TWNDE', 'TAISDE', 'TASDE', 'TODE', 'TOUDE', 'TODE', 'TADE' ]; $VAR8 = [ 'EKEINOS', 'EKEINOU', 'EKEINWi', 'EKEINON', 'EKEINOI', 'EKEINWN', 'EKEINOIS', 'EKEINOUS', 'EKEINH', 'EKEINHS', 'EKEINHi', 'EKEINHN', 'EKEINAI', 'EKEINAIS', 'EKEINAS', 'EKEINO', 'EKEINOU', 'EKEINWi', 'EKEINO', 'EKEINA', 'EKEINWN', 'EKEINOIS', 'EKEINA' ]; $VAR9 = [ 'DH' ]; $VAR10 = [ 'EIMI', 'EI', 'ESTI', 'ESTIN', 'ESMEN', 'ESTE', 'EISI', 'EISIN', 'HN', 'HSQA', 'HN', 'HMEN', 'HTE', 'HSAN', 'ESOMAI', 'ESHi', 'ESEI', 'ESTAI', 'ESOMEQA', 'ESESQE', 'ESONTAI', 'W', 'HiS', 'Hi', 'WMEN', 'HTE', 'WSI', 'EIHN', 'EIHS', 'EIH', 'EIHMEN', 'EIMEN', 'EIHTE', 'EITE', 'EIHSAN', 'EIEN', 'ESOIMHN', 'ESOIO', 'ESOITO', 'ESOIMEQA', 'ESOISQE', 'ESOINTO', 'ISQI', 'ESTW', 'ESTE', 'ESTWN', 'ONTWN', 'ESTWSAN', 'EINAI', 'ESESQAI', 'WN', 'OUSA', 'ON', 'ESOMENOS', 'ESOMENH', 'ESOMENON' ]; $VAR11 = [ 'LEGW', 'LEGEIS', 'LEGEI', 'LEGETON', 'LEGETON', 'LEGOMEN', 'LEGETE', 'LEGOUSI', 'LEGOUSIN', 'LEGW', 'LEGHiS', 'LEGHi', 'LEGHTON', 'LEGHTON', 'LEGWMEN', 'LEGHTE', 'LEGWSI', 'LEGWSIN', 'LEGOIMI', 'LEGOIS', 'LEGOI', 'LEGOITON', 'LEGOITHN', 'LEGOIMEN', 'LEGOITE', 'LEGOIEN', 'LEGE', 'LEGETW', 'LEGETON', 'LEGETWN', 'LEGETE', 'LEGONTWN', 'LEGOMAI', 'LEGEI', 'LEGHi', 'LEGETAI', 'LEGESQON', 'LEGESQON', 'LEGOMEQA', 'LEGESQE', 'LEGONTAI', 'LEGWMAI', 'LEGHi', 'LEGHTAI', 'LEGHSQON', 'LEGHSQON', 'LEGWMEQA', 'LEGHSQE', 'LEGWNTAI', 'LEGOIMHN', 'LEGOIO', 'LEGOITO', 'LEGOISQON', 'LEGOISQHN', 'LEGOIMEQA', 'LEGOISQE', 'LEGOINTO', 'LEGOU', 'LEGESQW', 'LEGESQON', 'LEGESQWN', 'LEGESQE', 'LEGESQWN', 'LEGEIN', 'LEGESQAI', 'LEGWN', 'LEGOUSA', 'LEGON', 'LEGOMENOS', 'LEGOMENH', 'LEGOMENON', 'ELEGON', 'ELEGOMHN', 'ELEGON', 'ELEGES', 'ELEGE', 'ELEGETON', 'ELEGETHN', 'ELEGOMEN', 'ELEGETE', 'ELEGON', 'ELEGOU', 'ELEGETO', 'ELEGESQON', 'ELEGESQHN', 'ELEGOMEQA', 'ELEGESQE', 'ELEGONTO', 'LECW', 'LECOMAI', 'LEXQHSOMAI', 'LECW', 'LECEIS', 'LECEI', 'LECETON', 'LECETON', 'LECOMEN', 'LECETE', 'LECOUSI', 'LECOUSIN', 'LECOIMI' ]; $VAR12 = [ 'KAI', 'KA' ]; $VAR13 = [ 'TE', 'T' ]; $VAR14 = [ 'OUTE', 'OUT', 'OUQ', 'EITE', 'EIT', 'EIQ', 'MHTE', 'MHT', 'MHQ' ]; $VAR15 = [ 'DE', 'D' ]; $VAR16 = [ 'MH' ]; $VAR17 = [ 'META', 'MET', 'MEQ', 'ME', 'M' ]; $VAR18 = [ 'MEN' ]; $VAR19 = [ 'ALLA', 'ALL' ]; $VAR20 = [ 'GAR' ]; $VAR21 = [ 'EIS' ]; $VAR22 = [ 'EPI', 'EP' ]; $VAR23 = [ 'DIA', 'DI' ]; $VAR24 = [ 'EK', 'EC' ]; $VAR25 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR26 = [ 'OUDE', 'OUD', 'MHDE', 'MHD' ]; $VAR27 = [ 'OUN' ]; $VAR28 = [ 'EPEI' ]; $VAR29 = [ 'OTI', 'OT', 'OQ' ]; $VAR30 = [ 'OUN' ]; $VAR31 = [ 'PERI' ]; $VAR32 = [ 'GIGNOMAI', 'GIGNWMAI', 'GIGNOIMHN', 'GIGESQAI', 'EGIGNOMHN', 'GENHSOMAI', 'GENHSOIMEHN', 'GENHQHSOMAI', 'GENHQHSOIMHN', 'GENHSESQAI', 'GENHSOMENOS', 'GENHSOMENH', 'GENHSOMENON', 'GEGONA', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONOIMI', 'GEGONOIHN', 'GEGENHMAI', 'GEGENHMAI', 'GEGENHMENOS', 'GEGONENAI', 'GEGONWS', 'GEGONUIA', 'GEGONOS', 'EGEGONEIN', 'EGEGONH', 'EGEGENHMHN', 'GIGNEI', 'GIGNHi', 'GIGNOIO', 'GIGNOU', 'EGIGNOU', 'GENHSEI', 'GENHSHi', 'GENHSOIO', 'GENHQHSEI', 'GENHQHSHi', 'GENHQHSOIO', 'EGENOU', 'GENHi', 'GENOIO', 'GENOU', 'EGENHQHS', 'GENHQHiS', 'GENHQEIHS', 'GENHQHTI', 'GEGONAS', 'GEGONWS', 'GEGONHS', 'GEGONWS', 'GEGONOIS', 'GEGONOIHS', 'GEGONWS', 'GEGENHSAI', 'GEGENHMENOS', 'GEGENHSO', 'EGEGONEIS', 'EGEGONHS', 'EGEGENHSO', 'GIGNETAI', 'GIGNHTAI', 'GIGNOITO', 'GIGNESQW', 'EGIGNETO', 'GENHSETAI', 'GENHSOITO', 'GENHQHSETAI', 'GENHQHSOITO', 'EGENETO', 'GENHTAI', 'GENOITO', 'GENESQW', 'EGENHQH', 'GENHQHi', 'GENHQEIN', 'GENHQHTW', 'GEGONE', 'GEGONWS', 'GEGONHi', 'GEGONWS', 'GEGONOI', 'GEGONOIN', 'GEGONWS', 'GEGENHTAI', 'GE' ]; $VAR33 = [ 'AN', 'EAN' ];

Author Z-Score-Based P-Values
$VAR1 = '0.0830894724803043'; $VAR2 = '0.0667269763921961';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Good indicator. 9.3% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '1.65739463172489e-13'; $VAR2 = '2.97282479078094e-09'; $VAR3 = '9.48199125170246e-285'; $VAR4 = '1.52352206506284e-242'; $VAR5 = '1.63019139734099e-82'; $VAR6 = '0.000992912676530883'; $VAR7 = '2.14540728524664e-12'; $VAR8 = '4.39974900661328e-09'; $VAR9 = '0.000169589784317281'; $VAR10 = '8.51109899053796e-05'; $VAR11 = '0.00468094424713687'; $VAR12 = '0.0277867977897034'; $VAR13 = '2.7289689972742e-22'; $VAR14 = '6.75972811745795e-05'; $VAR15 = '4.56674660793755e-15'; $VAR16 = '5.07381253038275e-12'; $VAR17 = '1.89281627483953e-06'; $VAR18 = '0.00915823313498387'; $VAR19 = '3.89481397384527e-05'; $VAR20 = '9.21286795371254e-06'; $VAR21 = '0.0039522003454141'; $VAR22 = '9.50075257167623e-09'; $VAR23 = '0.00283041469362078'; $VAR24 = '2.11054921523973e-05'; $VAR25 = '0.0406990208561242'; $VAR26 = '0.0129956202066898'; $VAR27 = '0.0117611997898463'; $VAR28 = '0.00644256943064117'; $VAR29 = '0.00154567405974218'; $VAR30 = '0.0502771838753014'; $VAR31 = '0.0785036455696279';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.554608476610046'; $VAR2 = '0.445391523389954';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.514189425162461'; $VAR3 = 31; $VAR4 = '0.485810574837539';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.083 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.083 Test, Z-Score-Based Method
0.154545454545455
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.866141732283465

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.083 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.083 Test, Z-Score-Based Method
0.1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.909090909090909
testsize: 3351
$VAR1 = 163; $VAR2 = 215; $VAR3 = 100; $VAR4 = 169; $VAR5 = 71; $VAR6 = 36; $VAR7 = 1; $VAR8 = 6; $VAR9 = 0; $VAR10 = 64; $VAR11 = 15; $VAR12 = 187; $VAR13 = 10; $VAR14 = 0; $VAR15 = 57; $VAR16 = 23; $VAR17 = 12; $VAR18 = 15; $VAR19 = 17; $VAR20 = 29; $VAR21 = 19; $VAR22 = 25; $VAR23 = 30; $VAR24 = 27; $VAR25 = 24; $VAR26 = 19; $VAR27 = 2; $VAR28 = 4; $VAR29 = 16; $VAR30 = 2; $VAR31 = 29; $VAR32 = 5; $VAR33 = 11;

33 Words
$VAR1 = [ 'O', 'OI', 'H', 'AI', 'TO', 'TA' ]; $VAR2 = [ 'TOU', 'TWN', 'THS' ]; $VAR3 = [ 'TWi', 'TOIS', 'THi', 'TAIS' ]; $VAR4 = [ 'TON', 'TOUS', 'THN', 'TAS', 'TO', 'TA' ]; $VAR5 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR6 = [ 'OUTOS', 'TOUTOU', 'TOUTWi', 'TOUTON', 'AUTOI', 'TOUTWN', 'TOUTOIS', 'TOUTOUS', 'AUTH', 'TAUTHS', 'TAUTHi', 'TAUTHN', 'AUTAI', 'TAUTAIS', 'TAUTAS', 'TOUTO', 'TOUTO', 'TAUTA' ]; $VAR7 = [ 'ODE', 'TOUDE', 'TWiDE', 'TONDE', 'OIDE', 'TWNDE', 'TOISDE', 'TOUSDE', 'HDE', 'THSDE', 'THiDE', 'THNDE', 'AIDE', 'TWNDE', 'TAISDE', 'TASDE', 'TODE', 'TOUDE', 'TODE', 'TADE' ]; $VAR8 = [ 'EKEINOS', 'EKEINOU', 'EKEINWi', 'EKEINON', 'EKEINOI', 'EKEINWN', 'EKEINOIS', 'EKEINOUS', 'EKEINH', 'EKEINHS', 'EKEINHi', 'EKEINHN', 'EKEINAI', 'EKEINAIS', 'EKEINAS', 'EKEINO', 'EKEINOU', 'EKEINWi', 'EKEINO', 'EKEINA', 'EKEINWN', 'EKEINOIS', 'EKEINA' ]; $VAR9 = [ 'DH' ]; $VAR10 = [ 'EIMI', 'EI', 'ESTI', 'ESTIN', 'ESMEN', 'ESTE', 'EISI', 'EISIN', 'HN', 'HSQA', 'HN', 'HMEN', 'HTE', 'HSAN', 'ESOMAI', 'ESHi', 'ESEI', 'ESTAI', 'ESOMEQA', 'ESESQE', 'ESONTAI', 'W', 'HiS', 'Hi', 'WMEN', 'HTE', 'WSI', 'EIHN', 'EIHS', 'EIH', 'EIHMEN', 'EIMEN', 'EIHTE', 'EITE', 'EIHSAN', 'EIEN', 'ESOIMHN', 'ESOIO', 'ESOITO', 'ESOIMEQA', 'ESOISQE', 'ESOINTO', 'ISQI', 'ESTW', 'ESTE', 'ESTWN', 'ONTWN', 'ESTWSAN', 'EINAI', 'ESESQAI', 'WN', 'OUSA', 'ON', 'ESOMENOS', 'ESOMENH', 'ESOMENON' ]; $VAR11 = [ 'LEGW', 'LEGEIS', 'LEGEI', 'LEGETON', 'LEGETON', 'LEGOMEN', 'LEGETE', 'LEGOUSI', 'LEGOUSIN', 'LEGW', 'LEGHiS', 'LEGHi', 'LEGHTON', 'LEGHTON', 'LEGWMEN', 'LEGHTE', 'LEGWSI', 'LEGWSIN', 'LEGOIMI', 'LEGOIS', 'LEGOI', 'LEGOITON', 'LEGOITHN', 'LEGOIMEN', 'LEGOITE', 'LEGOIEN', 'LEGE', 'LEGETW', 'LEGETON', 'LEGETWN', 'LEGETE', 'LEGONTWN', 'LEGOMAI', 'LEGEI', 'LEGHi', 'LEGETAI', 'LEGESQON', 'LEGESQON', 'LEGOMEQA', 'LEGESQE', 'LEGONTAI', 'LEGWMAI', 'LEGHi', 'LEGHTAI', 'LEGHSQON', 'LEGHSQON', 'LEGWMEQA', 'LEGHSQE', 'LEGWNTAI', 'LEGOIMHN', 'LEGOIO', 'LEGOITO', 'LEGOISQON', 'LEGOISQHN', 'LEGOIMEQA', 'LEGOISQE', 'LEGOINTO', 'LEGOU', 'LEGESQW', 'LEGESQON', 'LEGESQWN', 'LEGESQE', 'LEGESQWN', 'LEGEIN', 'LEGESQAI', 'LEGWN', 'LEGOUSA', 'LEGON', 'LEGOMENOS', 'LEGOMENH', 'LEGOMENON', 'ELEGON', 'ELEGOMHN', 'ELEGON', 'ELEGES', 'ELEGE', 'ELEGETON', 'ELEGETHN', 'ELEGOMEN', 'ELEGETE', 'ELEGON', 'ELEGOU', 'ELEGETO', 'ELEGESQON', 'ELEGESQHN', 'ELEGOMEQA', 'ELEGESQE', 'ELEGONTO', 'LECW', 'LECOMAI', 'LEXQHSOMAI', 'LECW', 'LECEIS', 'LECEI', 'LECETON', 'LECETON', 'LECOMEN', 'LECETE', 'LECOUSI', 'LECOUSIN', 'LECOIMI' ]; $VAR12 = [ 'KAI', 'KA' ]; $VAR13 = [ 'TE', 'T' ]; $VAR14 = [ 'OUTE', 'OUT', 'OUQ', 'EITE', 'EIT', 'EIQ', 'MHTE', 'MHT', 'MHQ' ]; $VAR15 = [ 'DE', 'D' ]; $VAR16 = [ 'MH' ]; $VAR17 = [ 'META', 'MET', 'MEQ', 'ME', 'M' ]; $VAR18 = [ 'MEN' ]; $VAR19 = [ 'ALLA', 'ALL' ]; $VAR20 = [ 'GAR' ]; $VAR21 = [ 'EIS' ]; $VAR22 = [ 'EPI', 'EP' ]; $VAR23 = [ 'DIA', 'DI' ]; $VAR24 = [ 'EK', 'EC' ]; $VAR25 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR26 = [ 'OUDE', 'OUD', 'MHDE', 'MHD' ]; $VAR27 = [ 'OUN' ]; $VAR28 = [ 'EPEI' ]; $VAR29 = [ 'OTI', 'OT', 'OQ' ]; $VAR30 = [ 'OUN' ]; $VAR31 = [ 'PERI' ]; $VAR32 = [ 'GIGNOMAI', 'GIGNWMAI', 'GIGNOIMHN', 'GIGESQAI', 'EGIGNOMHN', 'GENHSOMAI', 'GENHSOIMEHN', 'GENHQHSOMAI', 'GENHQHSOIMHN', 'GENHSESQAI', 'GENHSOMENOS', 'GENHSOMENH', 'GENHSOMENON', 'GEGONA', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONOIMI', 'GEGONOIHN', 'GEGENHMAI', 'GEGENHMAI', 'GEGENHMENOS', 'GEGONENAI', 'GEGONWS', 'GEGONUIA', 'GEGONOS', 'EGEGONEIN', 'EGEGONH', 'EGEGENHMHN', 'GIGNEI', 'GIGNHi', 'GIGNOIO', 'GIGNOU', 'EGIGNOU', 'GENHSEI', 'GENHSHi', 'GENHSOIO', 'GENHQHSEI', 'GENHQHSHi', 'GENHQHSOIO', 'EGENOU', 'GENHi', 'GENOIO', 'GENOU', 'EGENHQHS', 'GENHQHiS', 'GENHQEIHS', 'GENHQHTI', 'GEGONAS', 'GEGONWS', 'GEGONHS', 'GEGONWS', 'GEGONOIS', 'GEGONOIHS', 'GEGONWS', 'GEGENHSAI', 'GEGENHMENOS', 'GEGENHSO', 'EGEGONEIS', 'EGEGONHS', 'EGEGENHSO', 'GIGNETAI', 'GIGNHTAI', 'GIGNOITO', 'GIGNESQW', 'EGIGNETO', 'GENHSETAI', 'GENHSOITO', 'GENHQHSETAI', 'GENHQHSOITO', 'EGENETO', 'GENHTAI', 'GENOITO', 'GENESQW', 'EGENHQH', 'GENHQHi', 'GENHQEIN', 'GENHQHTW', 'GEGONE', 'GEGONWS', 'GEGONHi', 'GEGONWS', 'GEGONOI', 'GEGONOIN', 'GEGONWS', 'GEGENHTAI', 'GE' ]; $VAR33 = [ 'AN', 'EAN' ];

Author Z-Score-Based P-Values
$VAR1 = '0.0874349812623861'; $VAR2 = '0.0602997391093512';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Decent indicator. 12.5% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '3.56362550243964e-14'; $VAR2 = '1.15595620674741e-09'; $VAR3 = '3.01326783967536e-12'; $VAR4 = '9.87723704701525e-134'; $VAR5 = '5.74152312674937e-36'; $VAR6 = '0.00918455718479416'; $VAR7 = '1.0888374874178e-07'; $VAR8 = '1.26774786263822e-05'; $VAR9 = '0.00284570081967243'; $VAR10 = '0.00177689732015192'; $VAR11 = '0.0131632719652906'; $VAR12 = '0.0320091402944725'; $VAR13 = '5.66607044199624e-13'; $VAR14 = '0.00246333297383841'; $VAR15 = '2.01268396159459e-07'; $VAR16 = '2.84982139696462e-06'; $VAR17 = '0.002615444634331'; $VAR18 = '0.00577598067479647'; $VAR19 = '7.57497868804771e-07'; $VAR20 = '0.00229485461651095'; $VAR21 = '0.0105937635374857'; $VAR22 = '0.000130374452570951'; $VAR23 = '0.0139257665207231'; $VAR24 = '0.00129874780672119'; $VAR25 = '0.049330302741484'; $VAR26 = '0.0871076362364583'; $VAR27 = '0.0406935061495678'; $VAR28 = '0.0340416384009096'; $VAR29 = '0.00566481263194482'; $VAR30 = '0.0818361576111649'; $VAR31 = '0.0672848606403634';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.591837728073522'; $VAR2 = '0.408162271926478';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.50093772234718'; $VAR3 = 26; $VAR4 = '0.49906227765282';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0874 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0874 Test, Z-Score-Based Method
0.150862068965517
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.868913857677903

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0874 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0874 Test, Z-Score-Based Method
0.133333333333333
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.882352941176471
testsize: 3229
$VAR1 = 194; $VAR2 = 202; $VAR3 = 79; $VAR4 = 198; $VAR5 = 32; $VAR6 = 38; $VAR7 = 6; $VAR8 = 4; $VAR9 = 1; $VAR10 = 75; $VAR11 = 18; $VAR12 = 195; $VAR13 = 7; $VAR14 = 2; $VAR15 = 54; $VAR16 = 28; $VAR17 = 3; $VAR18 = 17; $VAR19 = 23; $VAR20 = 20; $VAR21 = 14; $VAR22 = 29; $VAR23 = 19; $VAR24 = 21; $VAR25 = 31; $VAR26 = 11; $VAR27 = 2; $VAR28 = 4; $VAR29 = 16; $VAR30 = 2; $VAR31 = 46; $VAR32 = 9; $VAR33 = 11;

33 Words
$VAR1 = [ 'O', 'OI', 'H', 'AI', 'TO', 'TA' ]; $VAR2 = [ 'TOU', 'TWN', 'THS' ]; $VAR3 = [ 'TWi', 'TOIS', 'THi', 'TAIS' ]; $VAR4 = [ 'TON', 'TOUS', 'THN', 'TAS', 'TO', 'TA' ]; $VAR5 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR6 = [ 'OUTOS', 'TOUTOU', 'TOUTWi', 'TOUTON', 'AUTOI', 'TOUTWN', 'TOUTOIS', 'TOUTOUS', 'AUTH', 'TAUTHS', 'TAUTHi', 'TAUTHN', 'AUTAI', 'TAUTAIS', 'TAUTAS', 'TOUTO', 'TOUTO', 'TAUTA' ]; $VAR7 = [ 'ODE', 'TOUDE', 'TWiDE', 'TONDE', 'OIDE', 'TWNDE', 'TOISDE', 'TOUSDE', 'HDE', 'THSDE', 'THiDE', 'THNDE', 'AIDE', 'TWNDE', 'TAISDE', 'TASDE', 'TODE', 'TOUDE', 'TODE', 'TADE' ]; $VAR8 = [ 'EKEINOS', 'EKEINOU', 'EKEINWi', 'EKEINON', 'EKEINOI', 'EKEINWN', 'EKEINOIS', 'EKEINOUS', 'EKEINH', 'EKEINHS', 'EKEINHi', 'EKEINHN', 'EKEINAI', 'EKEINAIS', 'EKEINAS', 'EKEINO', 'EKEINOU', 'EKEINWi', 'EKEINO', 'EKEINA', 'EKEINWN', 'EKEINOIS', 'EKEINA' ]; $VAR9 = [ 'DH' ]; $VAR10 = [ 'EIMI', 'EI', 'ESTI', 'ESTIN', 'ESMEN', 'ESTE', 'EISI', 'EISIN', 'HN', 'HSQA', 'HN', 'HMEN', 'HTE', 'HSAN', 'ESOMAI', 'ESHi', 'ESEI', 'ESTAI', 'ESOMEQA', 'ESESQE', 'ESONTAI', 'W', 'HiS', 'Hi', 'WMEN', 'HTE', 'WSI', 'EIHN', 'EIHS', 'EIH', 'EIHMEN', 'EIMEN', 'EIHTE', 'EITE', 'EIHSAN', 'EIEN', 'ESOIMHN', 'ESOIO', 'ESOITO', 'ESOIMEQA', 'ESOISQE', 'ESOINTO', 'ISQI', 'ESTW', 'ESTE', 'ESTWN', 'ONTWN', 'ESTWSAN', 'EINAI', 'ESESQAI', 'WN', 'OUSA', 'ON', 'ESOMENOS', 'ESOMENH', 'ESOMENON' ]; $VAR11 = [ 'LEGW', 'LEGEIS', 'LEGEI', 'LEGETON', 'LEGETON', 'LEGOMEN', 'LEGETE', 'LEGOUSI', 'LEGOUSIN', 'LEGW', 'LEGHiS', 'LEGHi', 'LEGHTON', 'LEGHTON', 'LEGWMEN', 'LEGHTE', 'LEGWSI', 'LEGWSIN', 'LEGOIMI', 'LEGOIS', 'LEGOI', 'LEGOITON', 'LEGOITHN', 'LEGOIMEN', 'LEGOITE', 'LEGOIEN', 'LEGE', 'LEGETW', 'LEGETON', 'LEGETWN', 'LEGETE', 'LEGONTWN', 'LEGOMAI', 'LEGEI', 'LEGHi', 'LEGETAI', 'LEGESQON', 'LEGESQON', 'LEGOMEQA', 'LEGESQE', 'LEGONTAI', 'LEGWMAI', 'LEGHi', 'LEGHTAI', 'LEGHSQON', 'LEGHSQON', 'LEGWMEQA', 'LEGHSQE', 'LEGWNTAI', 'LEGOIMHN', 'LEGOIO', 'LEGOITO', 'LEGOISQON', 'LEGOISQHN', 'LEGOIMEQA', 'LEGOISQE', 'LEGOINTO', 'LEGOU', 'LEGESQW', 'LEGESQON', 'LEGESQWN', 'LEGESQE', 'LEGESQWN', 'LEGEIN', 'LEGESQAI', 'LEGWN', 'LEGOUSA', 'LEGON', 'LEGOMENOS', 'LEGOMENH', 'LEGOMENON', 'ELEGON', 'ELEGOMHN', 'ELEGON', 'ELEGES', 'ELEGE', 'ELEGETON', 'ELEGETHN', 'ELEGOMEN', 'ELEGETE', 'ELEGON', 'ELEGOU', 'ELEGETO', 'ELEGESQON', 'ELEGESQHN', 'ELEGOMEQA', 'ELEGESQE', 'ELEGONTO', 'LECW', 'LECOMAI', 'LEXQHSOMAI', 'LECW', 'LECEIS', 'LECEI', 'LECETON', 'LECETON', 'LECOMEN', 'LECETE', 'LECOUSI', 'LECOUSIN', 'LECOIMI' ]; $VAR12 = [ 'KAI', 'KA' ]; $VAR13 = [ 'TE', 'T' ]; $VAR14 = [ 'OUTE', 'OUT', 'OUQ', 'EITE', 'EIT', 'EIQ', 'MHTE', 'MHT', 'MHQ' ]; $VAR15 = [ 'DE', 'D' ]; $VAR16 = [ 'MH' ]; $VAR17 = [ 'META', 'MET', 'MEQ', 'ME', 'M' ]; $VAR18 = [ 'MEN' ]; $VAR19 = [ 'ALLA', 'ALL' ]; $VAR20 = [ 'GAR' ]; $VAR21 = [ 'EIS' ]; $VAR22 = [ 'EPI', 'EP' ]; $VAR23 = [ 'DIA', 'DI' ]; $VAR24 = [ 'EK', 'EC' ]; $VAR25 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR26 = [ 'OUDE', 'OUD', 'MHDE', 'MHD' ]; $VAR27 = [ 'OUN' ]; $VAR28 = [ 'EPEI' ]; $VAR29 = [ 'OTI', 'OT', 'OQ' ]; $VAR30 = [ 'OUN' ]; $VAR31 = [ 'PERI' ]; $VAR32 = [ 'GIGNOMAI', 'GIGNWMAI', 'GIGNOIMHN', 'GIGESQAI', 'EGIGNOMHN', 'GENHSOMAI', 'GENHSOIMEHN', 'GENHQHSOMAI', 'GENHQHSOIMHN', 'GENHSESQAI', 'GENHSOMENOS', 'GENHSOMENH', 'GENHSOMENON', 'GEGONA', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONOIMI', 'GEGONOIHN', 'GEGENHMAI', 'GEGENHMAI', 'GEGENHMENOS', 'GEGONENAI', 'GEGONWS', 'GEGONUIA', 'GEGONOS', 'EGEGONEIN', 'EGEGONH', 'EGEGENHMHN', 'GIGNEI', 'GIGNHi', 'GIGNOIO', 'GIGNOU', 'EGIGNOU', 'GENHSEI', 'GENHSHi', 'GENHSOIO', 'GENHQHSEI', 'GENHQHSHi', 'GENHQHSOIO', 'EGENOU', 'GENHi', 'GENOIO', 'GENOU', 'EGENHQHS', 'GENHQHiS', 'GENHQEIHS', 'GENHQHTI', 'GEGONAS', 'GEGONWS', 'GEGONHS', 'GEGONWS', 'GEGONOIS', 'GEGONOIHS', 'GEGONWS', 'GEGENHSAI', 'GEGENHMENOS', 'GEGENHSO', 'EGEGONEIS', 'EGEGONHS', 'EGEGENHSO', 'GIGNETAI', 'GIGNHTAI', 'GIGNOITO', 'GIGNESQW', 'EGIGNETO', 'GENHSETAI', 'GENHSOITO', 'GENHQHSETAI', 'GENHQHSOITO', 'EGENETO', 'GENHTAI', 'GENOITO', 'GENESQW', 'EGENHQH', 'GENHQHi', 'GENHQEIN', 'GENHQHTW', 'GEGONE', 'GEGONWS', 'GEGONHi', 'GEGONWS', 'GEGONOI', 'GEGONOIN', 'GEGONWS', 'GEGENHTAI', 'GE' ]; $VAR33 = [ 'AN', 'EAN' ];

Author Z-Score-Based P-Values
$VAR1 = '0.140905498996917'; $VAR2 = '0.125767171919117';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.76223862457416e-13'; $VAR2 = '1.33731613003496e-09'; $VAR3 = '1.69266324137056e-22'; $VAR4 = '2.034737249902e-216'; $VAR5 = '1.92909243559855e-21'; $VAR6 = '0.00546563952373137'; $VAR7 = '3.15252040241235e-10'; $VAR8 = '6.96163889895986e-06'; $VAR9 = '0.000458975048213019'; $VAR10 = '0.000850365026482316'; $VAR11 = '0.00563096928716594'; $VAR12 = '0.0502590448367792'; $VAR13 = '6.96402916858187e-09'; $VAR14 = '0.00108812422843686'; $VAR15 = '3.86718034727156e-06'; $VAR16 = '1.55693697995599e-05'; $VAR17 = '0.00360583431033992'; $VAR18 = '0.00582971590356921'; $VAR19 = '1.76329387739654e-05'; $VAR20 = '0.00133323822686528'; $VAR21 = '0.0120998578428632'; $VAR22 = '1.62138519678178e-05'; $VAR23 = '0.0074276479526432'; $VAR24 = '0.00021837054212453'; $VAR25 = '0.0301891370118828'; $VAR26 = '0.0234333793146111'; $VAR27 = '0.0301135862219844'; $VAR28 = '0.0174235946183758'; $VAR29 = '0.000552423094255269'; $VAR30 = '0.0701181263784456'; $VAR31 = '0.0616322728984167';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.528383724184783'; $VAR2 = '0.471616275815217';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.667723809342572'; $VAR3 = 30; $VAR4 = '0.332276190657428';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.127572016460905
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.886861313868613

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.2
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.833333333333333
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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Secret Alias
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Re: Origen -- A Basic Stylometric Analysis

Post by Secret Alias » Thu Jun 04, 2015 12:35 pm

Can your test distinguish between corruption that might have occurred to an original text if interpolation occurred within an authentic text of a given author?
“Finally, from so little sleeping and so much reading, his brain dried up and he went completely out of his mind.”
― Miguel de Cervantes Saavedra, Don Quixote

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Ben C. Smith
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Re: Origen -- A Basic Stylometric Analysis

Post by Ben C. Smith » Thu Jun 04, 2015 12:39 pm

Secret Alias wrote:Can your test distinguish between corruption that might have occurred to an original text if interpolation occurred within an authentic text of a given author?
Based on what Peter has said before about this process, he needs samples with word counts generally much higher than the average interpolation (IIUC).

Ben.
ΤΙ ΕΣΤΙΝ ΑΛΕΘΕΙΑ

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Re: Origen -- A Basic Stylometric Analysis

Post by Peter Kirby » Thu Jun 04, 2015 12:40 pm

Ben C. Smith wrote:
Secret Alias wrote:Can your test distinguish between corruption that might have occurred to an original text if interpolation occurred within an authentic text of a given author?
Based on what Peter has said before about this process, he needs samples with word counts generally much higher than the average interpolation (IIUC).

Ben.
Aye.

(... although Stephan may need to clarify what he is asking.)
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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Thu Jun 04, 2015 3:52 pm

Ten samples were taken from the Commentary on John, between 3500 and 4000 words in length. The author of the Contra Celsum was treated as the 'Origen' candidate. Using the same list of 33 words, 'Origen' was selected over Eusebius 10 out of 10 times (100% accuracy). When including the 31 controls, 'Origen' was selected as the best candidate 8 out of 10 times (80% accuracy).
testsize: 3808
$VAR1 = 262; $VAR2 = 216; $VAR3 = 117; $VAR4 = 264; $VAR5 = 65; $VAR6 = 28; $VAR7 = 1; $VAR8 = 6; $VAR9 = 5; $VAR10 = 108; $VAR11 = 18; $VAR12 = 215; $VAR13 = 9; $VAR14 = 4; $VAR15 = 71; $VAR16 = 21; $VAR17 = 14; $VAR18 = 20; $VAR19 = 19; $VAR20 = 39; $VAR21 = 24; $VAR22 = 26; $VAR23 = 40; $VAR24 = 12; $VAR25 = 42; $VAR26 = 10; $VAR27 = 3; $VAR28 = 8; $VAR29 = 26; $VAR30 = 3; $VAR31 = 24; $VAR32 = 13; $VAR33 = 14;

33 Words
$VAR1 = [ 'O', 'OI', 'H', 'AI', 'TO', 'TA' ]; $VAR2 = [ 'TOU', 'TWN', 'THS' ]; $VAR3 = [ 'TWi', 'TOIS', 'THi', 'TAIS' ]; $VAR4 = [ 'TON', 'TOUS', 'THN', 'TAS', 'TO', 'TA' ]; $VAR5 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR6 = [ 'OUTOS', 'TOUTOU', 'TOUTWi', 'TOUTON', 'AUTOI', 'TOUTWN', 'TOUTOIS', 'TOUTOUS', 'AUTH', 'TAUTHS', 'TAUTHi', 'TAUTHN', 'AUTAI', 'TAUTAIS', 'TAUTAS', 'TOUTO', 'TOUTO', 'TAUTA' ]; $VAR7 = [ 'ODE', 'TOUDE', 'TWiDE', 'TONDE', 'OIDE', 'TWNDE', 'TOISDE', 'TOUSDE', 'HDE', 'THSDE', 'THiDE', 'THNDE', 'AIDE', 'TWNDE', 'TAISDE', 'TASDE', 'TODE', 'TOUDE', 'TODE', 'TADE' ]; $VAR8 = [ 'EKEINOS', 'EKEINOU', 'EKEINWi', 'EKEINON', 'EKEINOI', 'EKEINWN', 'EKEINOIS', 'EKEINOUS', 'EKEINH', 'EKEINHS', 'EKEINHi', 'EKEINHN', 'EKEINAI', 'EKEINAIS', 'EKEINAS', 'EKEINO', 'EKEINOU', 'EKEINWi', 'EKEINO', 'EKEINA', 'EKEINWN', 'EKEINOIS', 'EKEINA' ]; $VAR9 = [ 'DH' ]; $VAR10 = [ 'EIMI', 'EI', 'ESTI', 'ESTIN', 'ESMEN', 'ESTE', 'EISI', 'EISIN', 'HN', 'HSQA', 'HN', 'HMEN', 'HTE', 'HSAN', 'ESOMAI', 'ESHi', 'ESEI', 'ESTAI', 'ESOMEQA', 'ESESQE', 'ESONTAI', 'W', 'HiS', 'Hi', 'WMEN', 'HTE', 'WSI', 'EIHN', 'EIHS', 'EIH', 'EIHMEN', 'EIMEN', 'EIHTE', 'EITE', 'EIHSAN', 'EIEN', 'ESOIMHN', 'ESOIO', 'ESOITO', 'ESOIMEQA', 'ESOISQE', 'ESOINTO', 'ISQI', 'ESTW', 'ESTE', 'ESTWN', 'ONTWN', 'ESTWSAN', 'EINAI', 'ESESQAI', 'WN', 'OUSA', 'ON', 'ESOMENOS', 'ESOMENH', 'ESOMENON' ]; $VAR11 = [ 'LEGW', 'LEGEIS', 'LEGEI', 'LEGETON', 'LEGETON', 'LEGOMEN', 'LEGETE', 'LEGOUSI', 'LEGOUSIN', 'LEGW', 'LEGHiS', 'LEGHi', 'LEGHTON', 'LEGHTON', 'LEGWMEN', 'LEGHTE', 'LEGWSI', 'LEGWSIN', 'LEGOIMI', 'LEGOIS', 'LEGOI', 'LEGOITON', 'LEGOITHN', 'LEGOIMEN', 'LEGOITE', 'LEGOIEN', 'LEGE', 'LEGETW', 'LEGETON', 'LEGETWN', 'LEGETE', 'LEGONTWN', 'LEGOMAI', 'LEGEI', 'LEGHi', 'LEGETAI', 'LEGESQON', 'LEGESQON', 'LEGOMEQA', 'LEGESQE', 'LEGONTAI', 'LEGWMAI', 'LEGHi', 'LEGHTAI', 'LEGHSQON', 'LEGHSQON', 'LEGWMEQA', 'LEGHSQE', 'LEGWNTAI', 'LEGOIMHN', 'LEGOIO', 'LEGOITO', 'LEGOISQON', 'LEGOISQHN', 'LEGOIMEQA', 'LEGOISQE', 'LEGOINTO', 'LEGOU', 'LEGESQW', 'LEGESQON', 'LEGESQWN', 'LEGESQE', 'LEGESQWN', 'LEGEIN', 'LEGESQAI', 'LEGWN', 'LEGOUSA', 'LEGON', 'LEGOMENOS', 'LEGOMENH', 'LEGOMENON', 'ELEGON', 'ELEGOMHN', 'ELEGON', 'ELEGES', 'ELEGE', 'ELEGETON', 'ELEGETHN', 'ELEGOMEN', 'ELEGETE', 'ELEGON', 'ELEGOU', 'ELEGETO', 'ELEGESQON', 'ELEGESQHN', 'ELEGOMEQA', 'ELEGESQE', 'ELEGONTO', 'LECW', 'LECOMAI', 'LEXQHSOMAI', 'LECW', 'LECEIS', 'LECEI', 'LECETON', 'LECETON', 'LECOMEN', 'LECETE', 'LECOUSI', 'LECOUSIN', 'LECOIMI' ]; $VAR12 = [ 'KAI', 'KA' ]; $VAR13 = [ 'TE', 'T' ]; $VAR14 = [ 'OUTE', 'OUT', 'OUQ', 'EITE', 'EIT', 'EIQ', 'MHTE', 'MHT', 'MHQ' ]; $VAR15 = [ 'DE', 'D' ]; $VAR16 = [ 'MH' ]; $VAR17 = [ 'META', 'MET', 'MEQ', 'ME', 'M' ]; $VAR18 = [ 'MEN' ]; $VAR19 = [ 'ALLA', 'ALL' ]; $VAR20 = [ 'GAR' ]; $VAR21 = [ 'EIS' ]; $VAR22 = [ 'EPI', 'EP' ]; $VAR23 = [ 'DIA', 'DI' ]; $VAR24 = [ 'EK', 'EC' ]; $VAR25 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR26 = [ 'OUDE', 'OUD', 'MHDE', 'MHD' ]; $VAR27 = [ 'OUN' ]; $VAR28 = [ 'EPEI' ]; $VAR29 = [ 'OTI', 'OT', 'OQ' ]; $VAR30 = [ 'OUN' ]; $VAR31 = [ 'PERI' ]; $VAR32 = [ 'GIGNOMAI', 'GIGNWMAI', 'GIGNOIMHN', 'GIGESQAI', 'EGIGNOMHN', 'GENHSOMAI', 'GENHSOIMEHN', 'GENHQHSOMAI', 'GENHQHSOIMHN', 'GENHSESQAI', 'GENHSOMENOS', 'GENHSOMENH', 'GENHSOMENON', 'GEGONA', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONOIMI', 'GEGONOIHN', 'GEGENHMAI', 'GEGENHMAI', 'GEGENHMENOS', 'GEGONENAI', 'GEGONWS', 'GEGONUIA', 'GEGONOS', 'EGEGONEIN', 'EGEGONH', 'EGEGENHMHN', 'GIGNEI', 'GIGNHi', 'GIGNOIO', 'GIGNOU', 'EGIGNOU', 'GENHSEI', 'GENHSHi', 'GENHSOIO', 'GENHQHSEI', 'GENHQHSHi', 'GENHQHSOIO', 'EGENOU', 'GENHi', 'GENOIO', 'GENOU', 'EGENHQHS', 'GENHQHiS', 'GENHQEIHS', 'GENHQHTI', 'GEGONAS', 'GEGONWS', 'GEGONHS', 'GEGONWS', 'GEGONOIS', 'GEGONOIHS', 'GEGONWS', 'GEGENHSAI', 'GEGENHMENOS', 'GEGENHSO', 'EGEGONEIS', 'EGEGONHS', 'EGEGENHSO', 'GIGNETAI', 'GIGNHTAI', 'GIGNOITO', 'GIGNESQW', 'EGIGNETO', 'GENHSETAI', 'GENHSOITO', 'GENHQHSETAI', 'GENHQHSOITO', 'EGENETO', 'GENHTAI', 'GENOITO', 'GENESQW', 'EGENHQH', 'GENHQHi', 'GENHQEIN', 'GENHQHTW', 'GEGONE', 'GEGONWS', 'GEGONHi', 'GEGONWS', 'GEGONOI', 'GEGONOIN', 'GEGONWS', 'GEGENHTAI', 'GE' ]; $VAR33 = [ 'AN', 'EAN' ];

Author Z-Score-Based P-Values
$VAR1 = '0.0972545005962741'; $VAR2 = '0.0704247249967161';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Good indicator. 9.3% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '8.81499691731775e-85'; $VAR2 = '9.06454209593301e-10'; $VAR3 = '0'; $VAR4 = '5.68027942066791e-243'; $VAR5 = '6.62367236759013e-54'; $VAR6 = '0.0304720041407445'; $VAR7 = '2.17840544284084e-12'; $VAR8 = '4.14207403621013e-06'; $VAR9 = '0.000348591233058573'; $VAR10 = '0.000939008526600119'; $VAR11 = '0.00104942268141406'; $VAR12 = '0.0235755652874716'; $VAR13 = '4.13400576276904e-18'; $VAR14 = '0.000326609395749291'; $VAR15 = '3.7369220131851e-07'; $VAR16 = '2.13255461731882e-08'; $VAR17 = '0.000319117463113399'; $VAR18 = '0.00130718401178391'; $VAR19 = '1.52416763562508e-05'; $VAR20 = '0.00206827201726204'; $VAR21 = '0.0170257425949832'; $VAR22 = '9.09312114574217e-07'; $VAR23 = '0.00332992898151038'; $VAR24 = '1.6759500834261e-05'; $VAR25 = '0.0439752560342967'; $VAR26 = '0.0301281104888919'; $VAR27 = '0.0146914534909552'; $VAR28 = '0.0312625342651371'; $VAR29 = '0.00018302993781533'; $VAR30 = '0.0802231460186176'; $VAR31 = '0.11062693698272';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.580003278595413'; $VAR2 = '0.419996721404587';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.46783638659088'; $VAR3 = 31; $VAR4 = '0.53216361340912';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0972 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0972 Test, Z-Score-Based Method
0.124378109452736
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.889380530973451

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0972 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0972 Test, Z-Score-Based Method
0.111111111111111
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.9
testsize: 3982
$VAR1 = 287; $VAR2 = 227; $VAR3 = 100; $VAR4 = 268; $VAR5 = 88; $VAR6 = 51; $VAR7 = 4; $VAR8 = 7; $VAR9 = 6; $VAR10 = 205; $VAR11 = 28; $VAR12 = 229; $VAR13 = 1; $VAR14 = 8; $VAR15 = 81; $VAR16 = 31; $VAR17 = 8; $VAR18 = 21; $VAR19 = 26; $VAR20 = 47; $VAR21 = 17; $VAR22 = 27; $VAR23 = 41; $VAR24 = 8; $VAR25 = 30; $VAR26 = 10; $VAR27 = 9; $VAR28 = 6; $VAR29 = 19; $VAR30 = 9; $VAR31 = 26; $VAR32 = 39; $VAR33 = 18;

33 Words
$VAR1 = [ 'O', 'OI', 'H', 'AI', 'TO', 'TA' ]; $VAR2 = [ 'TOU', 'TWN', 'THS' ]; $VAR3 = [ 'TWi', 'TOIS', 'THi', 'TAIS' ]; $VAR4 = [ 'TON', 'TOUS', 'THN', 'TAS', 'TO', 'TA' ]; $VAR5 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR6 = [ 'OUTOS', 'TOUTOU', 'TOUTWi', 'TOUTON', 'AUTOI', 'TOUTWN', 'TOUTOIS', 'TOUTOUS', 'AUTH', 'TAUTHS', 'TAUTHi', 'TAUTHN', 'AUTAI', 'TAUTAIS', 'TAUTAS', 'TOUTO', 'TOUTO', 'TAUTA' ]; $VAR7 = [ 'ODE', 'TOUDE', 'TWiDE', 'TONDE', 'OIDE', 'TWNDE', 'TOISDE', 'TOUSDE', 'HDE', 'THSDE', 'THiDE', 'THNDE', 'AIDE', 'TWNDE', 'TAISDE', 'TASDE', 'TODE', 'TOUDE', 'TODE', 'TADE' ]; $VAR8 = [ 'EKEINOS', 'EKEINOU', 'EKEINWi', 'EKEINON', 'EKEINOI', 'EKEINWN', 'EKEINOIS', 'EKEINOUS', 'EKEINH', 'EKEINHS', 'EKEINHi', 'EKEINHN', 'EKEINAI', 'EKEINAIS', 'EKEINAS', 'EKEINO', 'EKEINOU', 'EKEINWi', 'EKEINO', 'EKEINA', 'EKEINWN', 'EKEINOIS', 'EKEINA' ]; $VAR9 = [ 'DH' ]; $VAR10 = [ 'EIMI', 'EI', 'ESTI', 'ESTIN', 'ESMEN', 'ESTE', 'EISI', 'EISIN', 'HN', 'HSQA', 'HN', 'HMEN', 'HTE', 'HSAN', 'ESOMAI', 'ESHi', 'ESEI', 'ESTAI', 'ESOMEQA', 'ESESQE', 'ESONTAI', 'W', 'HiS', 'Hi', 'WMEN', 'HTE', 'WSI', 'EIHN', 'EIHS', 'EIH', 'EIHMEN', 'EIMEN', 'EIHTE', 'EITE', 'EIHSAN', 'EIEN', 'ESOIMHN', 'ESOIO', 'ESOITO', 'ESOIMEQA', 'ESOISQE', 'ESOINTO', 'ISQI', 'ESTW', 'ESTE', 'ESTWN', 'ONTWN', 'ESTWSAN', 'EINAI', 'ESESQAI', 'WN', 'OUSA', 'ON', 'ESOMENOS', 'ESOMENH', 'ESOMENON' ]; $VAR11 = [ 'LEGW', 'LEGEIS', 'LEGEI', 'LEGETON', 'LEGETON', 'LEGOMEN', 'LEGETE', 'LEGOUSI', 'LEGOUSIN', 'LEGW', 'LEGHiS', 'LEGHi', 'LEGHTON', 'LEGHTON', 'LEGWMEN', 'LEGHTE', 'LEGWSI', 'LEGWSIN', 'LEGOIMI', 'LEGOIS', 'LEGOI', 'LEGOITON', 'LEGOITHN', 'LEGOIMEN', 'LEGOITE', 'LEGOIEN', 'LEGE', 'LEGETW', 'LEGETON', 'LEGETWN', 'LEGETE', 'LEGONTWN', 'LEGOMAI', 'LEGEI', 'LEGHi', 'LEGETAI', 'LEGESQON', 'LEGESQON', 'LEGOMEQA', 'LEGESQE', 'LEGONTAI', 'LEGWMAI', 'LEGHi', 'LEGHTAI', 'LEGHSQON', 'LEGHSQON', 'LEGWMEQA', 'LEGHSQE', 'LEGWNTAI', 'LEGOIMHN', 'LEGOIO', 'LEGOITO', 'LEGOISQON', 'LEGOISQHN', 'LEGOIMEQA', 'LEGOISQE', 'LEGOINTO', 'LEGOU', 'LEGESQW', 'LEGESQON', 'LEGESQWN', 'LEGESQE', 'LEGESQWN', 'LEGEIN', 'LEGESQAI', 'LEGWN', 'LEGOUSA', 'LEGON', 'LEGOMENOS', 'LEGOMENH', 'LEGOMENON', 'ELEGON', 'ELEGOMHN', 'ELEGON', 'ELEGES', 'ELEGE', 'ELEGETON', 'ELEGETHN', 'ELEGOMEN', 'ELEGETE', 'ELEGON', 'ELEGOU', 'ELEGETO', 'ELEGESQON', 'ELEGESQHN', 'ELEGOMEQA', 'ELEGESQE', 'ELEGONTO', 'LECW', 'LECOMAI', 'LEXQHSOMAI', 'LECW', 'LECEIS', 'LECEI', 'LECETON', 'LECETON', 'LECOMEN', 'LECETE', 'LECOUSI', 'LECOUSIN', 'LECOIMI' ]; $VAR12 = [ 'KAI', 'KA' ]; $VAR13 = [ 'TE', 'T' ]; $VAR14 = [ 'OUTE', 'OUT', 'OUQ', 'EITE', 'EIT', 'EIQ', 'MHTE', 'MHT', 'MHQ' ]; $VAR15 = [ 'DE', 'D' ]; $VAR16 = [ 'MH' ]; $VAR17 = [ 'META', 'MET', 'MEQ', 'ME', 'M' ]; $VAR18 = [ 'MEN' ]; $VAR19 = [ 'ALLA', 'ALL' ]; $VAR20 = [ 'GAR' ]; $VAR21 = [ 'EIS' ]; $VAR22 = [ 'EPI', 'EP' ]; $VAR23 = [ 'DIA', 'DI' ]; $VAR24 = [ 'EK', 'EC' ]; $VAR25 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR26 = [ 'OUDE', 'OUD', 'MHDE', 'MHD' ]; $VAR27 = [ 'OUN' ]; $VAR28 = [ 'EPEI' ]; $VAR29 = [ 'OTI', 'OT', 'OQ' ]; $VAR30 = [ 'OUN' ]; $VAR31 = [ 'PERI' ]; $VAR32 = [ 'GIGNOMAI', 'GIGNWMAI', 'GIGNOIMHN', 'GIGESQAI', 'EGIGNOMHN', 'GENHSOMAI', 'GENHSOIMEHN', 'GENHQHSOMAI', 'GENHQHSOIMHN', 'GENHSESQAI', 'GENHSOMENOS', 'GENHSOMENH', 'GENHSOMENON', 'GEGONA', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONOIMI', 'GEGONOIHN', 'GEGENHMAI', 'GEGENHMAI', 'GEGENHMENOS', 'GEGONENAI', 'GEGONWS', 'GEGONUIA', 'GEGONOS', 'EGEGONEIN', 'EGEGONH', 'EGEGENHMHN', 'GIGNEI', 'GIGNHi', 'GIGNOIO', 'GIGNOU', 'EGIGNOU', 'GENHSEI', 'GENHSHi', 'GENHSOIO', 'GENHQHSEI', 'GENHQHSHi', 'GENHQHSOIO', 'EGENOU', 'GENHi', 'GENOIO', 'GENOU', 'EGENHQHS', 'GENHQHiS', 'GENHQEIHS', 'GENHQHTI', 'GEGONAS', 'GEGONWS', 'GEGONHS', 'GEGONWS', 'GEGONOIS', 'GEGONOIHS', 'GEGONWS', 'GEGENHSAI', 'GEGENHMENOS', 'GEGENHSO', 'EGEGONEIS', 'EGEGONHS', 'EGEGENHSO', 'GIGNETAI', 'GIGNHTAI', 'GIGNOITO', 'GIGNESQW', 'EGIGNETO', 'GENHSETAI', 'GENHSOITO', 'GENHQHSETAI', 'GENHQHSOITO', 'EGENETO', 'GENHTAI', 'GENOITO', 'GENESQW', 'EGENHQH', 'GENHQHi', 'GENHQEIN', 'GENHQHTW', 'GEGONE', 'GEGONWS', 'GEGONHi', 'GEGONWS', 'GEGONOI', 'GEGONOIN', 'GEGONWS', 'GEGENHTAI', 'GE' ]; $VAR33 = [ 'AN', 'EAN' ];

Author Z-Score-Based P-Values
$VAR1 = '0.0943075735262506'; $VAR2 = '0.0742129760229281';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Good indicator. 6.2% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '2.6288632836541e-44'; $VAR2 = '2.08569312101771e-09'; $VAR3 = '0'; $VAR4 = '0'; $VAR5 = '1.06891765978308e-68'; $VAR6 = '0.00115660067095418'; $VAR7 = '4.56871506584322e-19'; $VAR8 = '6.22273921832019e-17'; $VAR9 = '1.73954494162907e-06'; $VAR10 = '3.14657843894982e-05'; $VAR11 = '8.39237442246004e-05'; $VAR12 = '0.00871565017032699'; $VAR13 = '2.12119743848437e-31'; $VAR14 = '6.34306870187879e-06'; $VAR15 = '1.03547921809945e-08'; $VAR16 = '2.57877639304167e-09'; $VAR17 = '4.63153281203994e-05'; $VAR18 = '0.00170180065114859'; $VAR19 = '1.62240972844842e-08'; $VAR20 = '0.00127024434192386'; $VAR21 = '0.00738253265317565'; $VAR22 = '1.82131182944035e-05'; $VAR23 = '0.000315688800298429'; $VAR24 = '6.07242298916785e-10'; $VAR25 = '0.0234521866028444'; $VAR26 = '0.0199129091186011'; $VAR27 = '0.0140770554519675'; $VAR28 = '0.0203902122868042'; $VAR29 = '0.000856410219004721'; $VAR30 = '0.0301874015553007'; $VAR31 = '0.0601970175237937';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.559620614687879'; $VAR2 = '0.440379385312121';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.610386868670487'; $VAR3 = 31; $VAR4 = '0.389613131329514';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0943 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0943 Test, Z-Score-Based Method
0.12565445026178
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.888372093023256

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0943 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5
testsize: 3688

Author Z-Score-Based P-Values
$VAR1 = '0.211980137676569'; $VAR2 = '0.186647401026831';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.1892137429484e-07'; $VAR2 = '5.06356530452086e-12'; $VAR3 = '1.75305293971851e-277'; $VAR4 = '4.10758533038219e-198'; $VAR5 = '7.78034852385089e-50'; $VAR6 = '0.030328941476095'; $VAR7 = '6.08398485397643e-12'; $VAR8 = '1.21012120956585e-07'; $VAR9 = '0.00017083581548691'; $VAR10 = '0.00117888511887494'; $VAR11 = '0.00430443819533771'; $VAR12 = '0.0363165150059613'; $VAR13 = '3.65104436153371e-14'; $VAR14 = '0.000179687220912664'; $VAR15 = '2.48363089137617e-06'; $VAR16 = '3.5644868821847e-07'; $VAR17 = '0.000719469697656006'; $VAR18 = '0.00867932727393886'; $VAR19 = '0.000114683634783924'; $VAR20 = '0.000916274980584003'; $VAR21 = '0.0236089106071741'; $VAR22 = '6.0919800689157e-05'; $VAR23 = '0.00262055446074192'; $VAR24 = '0.000113476679775838'; $VAR25 = '0.0476603826577574'; $VAR26 = '0.0441199790115769'; $VAR27 = '0.0141579287376613'; $VAR28 = '0.0286329294074116'; $VAR29 = '0.00144933019195367'; $VAR30 = '0.053815385744042'; $VAR31 = '0.0757159474257927';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.53177494551949'; $VAR2 = '0.46822505448051';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.736819681092104'; $VAR3 = 31; $VAR4 = '0.263180318907896';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.641025641025641
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0523809523809524
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.92445853143159

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.578947368421053
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.525442477876106

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 3696

Author Z-Score-Based P-Values
$VAR1 = '0.131839420154195'; $VAR2 = '0.0905759484541966';
Good compatibility. Z-Score-Based P-Value > 0.10.
Excellent indicator. 0% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '9.05496557282247e-08'; $VAR2 = '1.72353245261575e-11'; $VAR3 = '0'; $VAR4 = '4.08695099027352e-208'; $VAR5 = '7.30644267923154e-46'; $VAR6 = '0.037359581104264'; $VAR7 = '4.31486337106619e-11'; $VAR8 = '0.000114343993364202'; $VAR9 = '0.00278117157075743'; $VAR10 = '0.00453085810687108'; $VAR11 = '0.0142327894527899'; $VAR12 = '0.0408788587839837'; $VAR13 = '5.60394676621645e-08'; $VAR14 = '0.00118722880265072'; $VAR15 = '2.95301556097124e-08'; $VAR16 = '8.12171358673054e-10'; $VAR17 = '3.13770566239286e-05'; $VAR18 = '0.0253104132124338'; $VAR19 = '4.35063863203681e-05'; $VAR20 = '8.09761658888683e-05'; $VAR21 = '0.0271462620760724'; $VAR22 = '2.10704504123649e-06'; $VAR23 = '0.00582396566618442'; $VAR24 = '0.00141789920076441'; $VAR25 = '0.0449058382664117'; $VAR26 = '0.0532141399038829'; $VAR27 = '0.012904973227095'; $VAR28 = '0.0192672309077477'; $VAR29 = '0.00417559458018168'; $VAR30 = '0.0604101387684214'; $VAR31 = '0.0565539391539148';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.592762186260275'; $VAR2 = '0.407237813739725';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.685772289377593'; $VAR3 = 30; $VAR4 = '0.314227710622407';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.114285714285714
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.897435897435897

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.111111111111111
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.9
testsize: 3712

Author Z-Score-Based P-Values
$VAR1 = '0.0752962621699923'; $VAR2 = '0.0492749787099699';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Decent indicator. 12.5% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '8.87938403394229e-36'; $VAR2 = '3.82947822236449e-09'; $VAR3 = '0'; $VAR4 = '6.74736937899403e-187'; $VAR5 = '2.26792988588739e-34'; $VAR6 = '0.0319604497545625'; $VAR7 = '4.56443799737907e-09'; $VAR8 = '0.000104575608224796'; $VAR9 = '0.00486971618696519'; $VAR10 = '0.0176515141565562'; $VAR11 = '0.0181625115213457'; $VAR12 = '0.0305036471084839'; $VAR13 = '2.40507753303363e-12'; $VAR14 = '0.0020277273248706'; $VAR15 = '1.0956007912086e-08'; $VAR16 = '5.32640806263295e-06'; $VAR17 = '0.0010899841238142'; $VAR18 = '0.0328557308118101'; $VAR19 = '1.68172058895774e-05'; $VAR20 = '0.00623320869062596'; $VAR21 = '0.0198863331902787'; $VAR22 = '2.34806972669379e-07'; $VAR23 = '0.0199555622346279'; $VAR24 = '0.000944497433461238'; $VAR25 = '0.0750551411105757'; $VAR26 = '0.0760445101590083'; $VAR27 = '0.0325582046145566'; $VAR28 = '0.0451804631080507'; $VAR29 = '0.000884545535389053'; $VAR30 = '0.0853051407413539'; $VAR31 = '0.07092271206143';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.604443382261467'; $VAR2 = '0.395556617738533';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.468839380011871'; $VAR3 = 30; $VAR4 = '0.531160619988129';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0752 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0752 Test, Z-Score-Based Method
0.1875
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.842105263157895

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0752 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0752 Test, Z-Score-Based Method
0.444444444444444
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.692307692307692
testsize: 3695

Author Z-Score-Based P-Values
$VAR1 = '0.101259591601374'; $VAR2 = '0.0637128598267242';
Good compatibility. Z-Score-Based P-Value > 0.10.
Excellent indicator. 0% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.09299313294147e-07'; $VAR2 = '5.9894460394222e-12'; $VAR3 = '0'; $VAR4 = '6.70339009493595e-217'; $VAR5 = '1.72306738095589e-48'; $VAR6 = '0.0122271526971975'; $VAR7 = '2.52597435531991e-13'; $VAR8 = '6.47524867687152e-05'; $VAR9 = '0.00282992521045405'; $VAR10 = '0.00916767515590291'; $VAR11 = '0.00842069621266676'; $VAR12 = '0.024255880425704'; $VAR13 = '1.37967203132464e-10'; $VAR14 = '0.000175278729856555'; $VAR15 = '3.57775984476317e-09'; $VAR16 = '3.25483207163737e-08'; $VAR17 = '1.5400023733338e-05'; $VAR18 = '0.00778964648824527'; $VAR19 = '3.4439906738098e-07'; $VAR20 = '0.00017934018807088'; $VAR21 = '0.00899485665886395'; $VAR22 = '2.34652571129887e-07'; $VAR23 = '0.00420273949393815'; $VAR24 = '7.23420741376384e-05'; $VAR25 = '0.0434180770742025'; $VAR26 = '0.0318316274267234'; $VAR27 = '0.0245598276748683'; $VAR28 = '0.0229090583491096'; $VAR29 = '0.000699668754381481'; $VAR30 = '0.0473472673516246'; $VAR31 = '0.04888907291392';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.613796974736155'; $VAR2 = '0.386203025263845';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.674395552756047'; $VAR3 = 31; $VAR4 = '0.325604447243953';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.119047619047619
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.893617021276596

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.222222222222222
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.818181818181818
testsize: 3711

Author Z-Score-Based P-Values
$VAR1 = '0.153444184588346'; $VAR2 = '0.134744581636849';
Good compatibility. Z-Score-Based P-Value > 0.10.
Good indicator. 6.2% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '3.56055716057158e-47'; $VAR2 = '5.55231460109811e-10'; $VAR3 = '1.83884582230423e-277'; $VAR4 = '8.9667528785921e-232'; $VAR5 = '2.52514736514714e-38'; $VAR6 = '0.00277704927608327'; $VAR7 = '1.40504292526468e-15'; $VAR8 = '2.51739587614049e-08'; $VAR9 = '0.0002591227538533'; $VAR10 = '0.00156807306876282'; $VAR11 = '0.00743809267729936'; $VAR12 = '0.0491195771419077'; $VAR13 = '2.768696077426e-12'; $VAR14 = '0.000355238924131135'; $VAR15 = '1.8955601843874e-07'; $VAR16 = '9.29110941426567e-09'; $VAR17 = '0.00113951061303247'; $VAR18 = '0.0283605737211341'; $VAR19 = '2.33169719195825e-05'; $VAR20 = '0.0154103333383202'; $VAR21 = '0.0400968706743617'; $VAR22 = '1.01460642368327e-05'; $VAR23 = '0.00349798023807416'; $VAR24 = '5.75109126530792e-06'; $VAR25 = '0.0698497502376545'; $VAR26 = '0.0525919699381807'; $VAR27 = '0.0121648113575735'; $VAR28 = '0.0299991972576366'; $VAR29 = '0.00163095723654952'; $VAR30 = '0.0976904655624626'; $VAR31 = '0.131804500358005';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.532443323861008'; $VAR2 = '0.467556676138992';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.537931260286811'; $VAR3 = 31; $VAR4 = '0.462068739713189';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.120192307692308
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.892703862660944

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.222222222222222
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.818181818181818
testsize: 3665

Author Z-Score-Based P-Values
$VAR1 = '0.181436303998247'; $VAR2 = '0.132991323848224';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '6.71755806603116e-10'; $VAR2 = '9.52154033143037e-09'; $VAR3 = '3.09117650508588e-316'; $VAR4 = '1.03615632713608e-155'; $VAR5 = '7.25353964348017e-41'; $VAR6 = '0.00746127651011113'; $VAR7 = '2.12692240679625e-12'; $VAR8 = '5.53337234241786e-09'; $VAR9 = '5.12533784014428e-05'; $VAR10 = '0.00057060272454251'; $VAR11 = '0.00351071425436563'; $VAR12 = '0.0266521145206579'; $VAR13 = '5.4822713669188e-12'; $VAR14 = '0.000242199943048691'; $VAR15 = '4.37809468345453e-09'; $VAR16 = '4.54712616464632e-09'; $VAR17 = '0.000223094541039968'; $VAR18 = '0.00717610334776738'; $VAR19 = '0.000259857522800382'; $VAR20 = '0.00241518148522004'; $VAR21 = '0.0306914387103827'; $VAR22 = '6.13809695464579e-05'; $VAR23 = '0.00302120424199836'; $VAR24 = '0.000715406910934107'; $VAR25 = '0.0411354578188419'; $VAR26 = '0.0835506498495325'; $VAR27 = '0.0534731795159187'; $VAR28 = '0.0613209689025091'; $VAR29 = '0.00819262527725432'; $VAR30 = '0.0457203782347802'; $VAR31 = '0.0739387151436598';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.577036773902193'; $VAR2 = '0.422963226097807';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.684699006361167'; $VAR3 = 26; $VAR4 = '0.315300993638834';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.123222748815166
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.890295358649789

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 3836

Author Z-Score-Based P-Values
$VAR1 = '0.107403166462279'; $VAR2 = '0.0980205702433665';
Good compatibility. Z-Score-Based P-Value > 0.10.
Excellent indicator. 0% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.2949367540335e-80'; $VAR2 = '3.61518710040333e-09'; $VAR3 = '0'; $VAR4 = '0'; $VAR5 = '4.18152545404151e-61'; $VAR6 = '0.00331250881277787'; $VAR7 = '3.94346455467027e-17'; $VAR8 = '5.37800311255457e-09'; $VAR9 = '3.80032186062296e-06'; $VAR10 = '0.000309231587168716'; $VAR11 = '0.000344988164318859'; $VAR12 = '0.0144928592546869'; $VAR13 = '5.09761932378092e-36'; $VAR14 = '7.79990232370536e-06'; $VAR15 = '5.81032229492001e-10'; $VAR16 = '3.75756550259958e-11'; $VAR17 = '9.88875533309096e-05'; $VAR18 = '0.00158194003907053'; $VAR19 = '2.87843382617998e-05'; $VAR20 = '0.000413406143239258'; $VAR21 = '0.00529013484729851'; $VAR22 = '2.27132981406632e-07'; $VAR23 = '0.000899560108125611'; $VAR24 = '4.80779515305757e-07'; $VAR25 = '0.037782351203805'; $VAR26 = '0.0201197835814136'; $VAR27 = '0.0118815097567153'; $VAR28 = '0.00405354635495989'; $VAR29 = '0.000180414536292527'; $VAR30 = '0.0670111158982199'; $VAR31 = '0.0660862452219088';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.522837176388134'; $VAR2 = '0.477162823611866';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.615793414442324'; $VAR3 = 30; $VAR4 = '0.384206585557676';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.125
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.888888888888889

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.125
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.888888888888889
testsize: 3586

Author Z-Score-Based P-Values
$VAR1 = '0.0851717573194944'; $VAR2 = '0.0550936096212797';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Good indicator. 9.3% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '3.9849894138645e-10'; $VAR2 = '2.87349689916703e-09'; $VAR3 = '0'; $VAR4 = '1.40991138667032e-268'; $VAR5 = '1.62929513378528e-51'; $VAR6 = '0.00562393134502067'; $VAR7 = '3.82312868119135e-10'; $VAR8 = '1.31363122882795e-05'; $VAR9 = '0.00143105017878574'; $VAR10 = '0.000888072896398418'; $VAR11 = '0.00449730158798399'; $VAR12 = '0.0226138200830433'; $VAR13 = '1.60575610881781e-09'; $VAR14 = '0.00107025472224204'; $VAR15 = '3.33001664635772e-10'; $VAR16 = '3.69782537915777e-09'; $VAR17 = '1.8293287652747e-05'; $VAR18 = '0.00590333817424606'; $VAR19 = '1.0159171596653e-05'; $VAR20 = '6.01986843704653e-06'; $VAR21 = '0.00676156712952776'; $VAR22 = '2.03358873389539e-07'; $VAR23 = '0.00629750741934936'; $VAR24 = '0.002051824446509'; $VAR25 = '0.0731085333276791'; $VAR26 = '0.0491498815732568'; $VAR27 = '0.0308945331782751'; $VAR28 = '0.0294742350736152'; $VAR29 = '0.00113420571154403'; $VAR30 = '0.0577495648369126'; $VAR31 = '0.041781883126801';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.607218725314122'; $VAR2 = '0.392781274685878';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.538107157696298'; $VAR3 = 25; $VAR4 = '0.461892842303702';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0851 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0851 Test, Z-Score-Based Method
0.165137614678899
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.858267716535433

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0851 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0851 Test, Z-Score-Based Method
0.2
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.833333333333333
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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Peter Kirby
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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Thu Jun 04, 2015 4:54 pm

Three samples were taken from the Exhortatio ad martyrium, using samples approximately 2500 words in length. The direct quotes were removed first. The author of the Contra Celsum was treated as the 'Origen' candidate. Using the same list of 33 words, 'Origen' was selected as the best candidate out of 33, including controls, 3 out of 3 times (100% accuracy).
testsize: 2715
$VAR1 = 148; $VAR2 = 114; $VAR3 = 72; $VAR4 = 152; $VAR5 = 52; $VAR6 = 19; $VAR7 = 2; $VAR8 = 5; $VAR9 = 0; $VAR10 = 64; $VAR11 = 10; $VAR12 = 195; $VAR13 = 3; $VAR14 = 2; $VAR15 = 47; $VAR16 = 21; $VAR17 = 18; $VAR18 = 15; $VAR19 = 24; $VAR20 = 21; $VAR21 = 4; $VAR22 = 11; $VAR23 = 16; $VAR24 = 0; $VAR25 = 11; $VAR26 = 11; $VAR27 = 9; $VAR28 = 1; $VAR29 = 21; $VAR30 = 9; $VAR31 = 15; $VAR32 = 9; $VAR33 = 24;

33 Words
$VAR1 = [ 'O', 'OI', 'H', 'AI', 'TO', 'TA' ]; $VAR2 = [ 'TOU', 'TWN', 'THS' ]; $VAR3 = [ 'TWi', 'TOIS', 'THi', 'TAIS' ]; $VAR4 = [ 'TON', 'TOUS', 'THN', 'TAS', 'TO', 'TA' ]; $VAR5 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR6 = [ 'OUTOS', 'TOUTOU', 'TOUTWi', 'TOUTON', 'AUTOI', 'TOUTWN', 'TOUTOIS', 'TOUTOUS', 'AUTH', 'TAUTHS', 'TAUTHi', 'TAUTHN', 'AUTAI', 'TAUTAIS', 'TAUTAS', 'TOUTO', 'TOUTO', 'TAUTA' ]; $VAR7 = [ 'ODE', 'TOUDE', 'TWiDE', 'TONDE', 'OIDE', 'TWNDE', 'TOISDE', 'TOUSDE', 'HDE', 'THSDE', 'THiDE', 'THNDE', 'AIDE', 'TWNDE', 'TAISDE', 'TASDE', 'TODE', 'TOUDE', 'TODE', 'TADE' ]; $VAR8 = [ 'EKEINOS', 'EKEINOU', 'EKEINWi', 'EKEINON', 'EKEINOI', 'EKEINWN', 'EKEINOIS', 'EKEINOUS', 'EKEINH', 'EKEINHS', 'EKEINHi', 'EKEINHN', 'EKEINAI', 'EKEINAIS', 'EKEINAS', 'EKEINO', 'EKEINOU', 'EKEINWi', 'EKEINO', 'EKEINA', 'EKEINWN', 'EKEINOIS', 'EKEINA' ]; $VAR9 = [ 'DH' ]; $VAR10 = [ 'EIMI', 'EI', 'ESTI', 'ESTIN', 'ESMEN', 'ESTE', 'EISI', 'EISIN', 'HN', 'HSQA', 'HN', 'HMEN', 'HTE', 'HSAN', 'ESOMAI', 'ESHi', 'ESEI', 'ESTAI', 'ESOMEQA', 'ESESQE', 'ESONTAI', 'W', 'HiS', 'Hi', 'WMEN', 'HTE', 'WSI', 'EIHN', 'EIHS', 'EIH', 'EIHMEN', 'EIMEN', 'EIHTE', 'EITE', 'EIHSAN', 'EIEN', 'ESOIMHN', 'ESOIO', 'ESOITO', 'ESOIMEQA', 'ESOISQE', 'ESOINTO', 'ISQI', 'ESTW', 'ESTE', 'ESTWN', 'ONTWN', 'ESTWSAN', 'EINAI', 'ESESQAI', 'WN', 'OUSA', 'ON', 'ESOMENOS', 'ESOMENH', 'ESOMENON' ]; $VAR11 = [ 'LEGW', 'LEGEIS', 'LEGEI', 'LEGETON', 'LEGETON', 'LEGOMEN', 'LEGETE', 'LEGOUSI', 'LEGOUSIN', 'LEGW', 'LEGHiS', 'LEGHi', 'LEGHTON', 'LEGHTON', 'LEGWMEN', 'LEGHTE', 'LEGWSI', 'LEGWSIN', 'LEGOIMI', 'LEGOIS', 'LEGOI', 'LEGOITON', 'LEGOITHN', 'LEGOIMEN', 'LEGOITE', 'LEGOIEN', 'LEGE', 'LEGETW', 'LEGETON', 'LEGETWN', 'LEGETE', 'LEGONTWN', 'LEGOMAI', 'LEGEI', 'LEGHi', 'LEGETAI', 'LEGESQON', 'LEGESQON', 'LEGOMEQA', 'LEGESQE', 'LEGONTAI', 'LEGWMAI', 'LEGHi', 'LEGHTAI', 'LEGHSQON', 'LEGHSQON', 'LEGWMEQA', 'LEGHSQE', 'LEGWNTAI', 'LEGOIMHN', 'LEGOIO', 'LEGOITO', 'LEGOISQON', 'LEGOISQHN', 'LEGOIMEQA', 'LEGOISQE', 'LEGOINTO', 'LEGOU', 'LEGESQW', 'LEGESQON', 'LEGESQWN', 'LEGESQE', 'LEGESQWN', 'LEGEIN', 'LEGESQAI', 'LEGWN', 'LEGOUSA', 'LEGON', 'LEGOMENOS', 'LEGOMENH', 'LEGOMENON', 'ELEGON', 'ELEGOMHN', 'ELEGON', 'ELEGES', 'ELEGE', 'ELEGETON', 'ELEGETHN', 'ELEGOMEN', 'ELEGETE', 'ELEGON', 'ELEGOU', 'ELEGETO', 'ELEGESQON', 'ELEGESQHN', 'ELEGOMEQA', 'ELEGESQE', 'ELEGONTO', 'LECW', 'LECOMAI', 'LEXQHSOMAI', 'LECW', 'LECEIS', 'LECEI', 'LECETON', 'LECETON', 'LECOMEN', 'LECETE', 'LECOUSI', 'LECOUSIN', 'LECOIMI' ]; $VAR12 = [ 'KAI', 'KA' ]; $VAR13 = [ 'TE', 'T' ]; $VAR14 = [ 'OUTE', 'OUT', 'OUQ', 'EITE', 'EIT', 'EIQ', 'MHTE', 'MHT', 'MHQ' ]; $VAR15 = [ 'DE', 'D' ]; $VAR16 = [ 'MH' ]; $VAR17 = [ 'META', 'MET', 'MEQ', 'ME', 'M' ]; $VAR18 = [ 'MEN' ]; $VAR19 = [ 'ALLA', 'ALL' ]; $VAR20 = [ 'GAR' ]; $VAR21 = [ 'EIS' ]; $VAR22 = [ 'EPI', 'EP' ]; $VAR23 = [ 'DIA', 'DI' ]; $VAR24 = [ 'EK', 'EC' ]; $VAR25 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR26 = [ 'OUDE', 'OUD', 'MHDE', 'MHD' ]; $VAR27 = [ 'OUN' ]; $VAR28 = [ 'EPEI' ]; $VAR29 = [ 'OTI', 'OT', 'OQ' ]; $VAR30 = [ 'OUN' ]; $VAR31 = [ 'PERI' ]; $VAR32 = [ 'GIGNOMAI', 'GIGNWMAI', 'GIGNOIMHN', 'GIGESQAI', 'EGIGNOMHN', 'GENHSOMAI', 'GENHSOIMEHN', 'GENHQHSOMAI', 'GENHQHSOIMHN', 'GENHSESQAI', 'GENHSOMENOS', 'GENHSOMENH', 'GENHSOMENON', 'GEGONA', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONOIMI', 'GEGONOIHN', 'GEGENHMAI', 'GEGENHMAI', 'GEGENHMENOS', 'GEGONENAI', 'GEGONWS', 'GEGONUIA', 'GEGONOS', 'EGEGONEIN', 'EGEGONH', 'EGEGENHMHN', 'GIGNEI', 'GIGNHi', 'GIGNOIO', 'GIGNOU', 'EGIGNOU', 'GENHSEI', 'GENHSHi', 'GENHSOIO', 'GENHQHSEI', 'GENHQHSHi', 'GENHQHSOIO', 'EGENOU', 'GENHi', 'GENOIO', 'GENOU', 'EGENHQHS', 'GENHQHiS', 'GENHQEIHS', 'GENHQHTI', 'GEGONAS', 'GEGONWS', 'GEGONHS', 'GEGONWS', 'GEGONOIS', 'GEGONOIHS', 'GEGONWS', 'GEGENHSAI', 'GEGENHMENOS', 'GEGENHSO', 'EGEGONEIS', 'EGEGONHS', 'EGEGENHSO', 'GIGNETAI', 'GIGNHTAI', 'GIGNOITO', 'GIGNESQW', 'EGIGNETO', 'GENHSETAI', 'GENHSOITO', 'GENHQHSETAI', 'GENHQHSOITO', 'EGENETO', 'GENHTAI', 'GENOITO', 'GENESQW', 'EGENHQH', 'GENHQHi', 'GENHQEIN', 'GENHQHTW', 'GEGONE', 'GEGONWS', 'GEGONHi', 'GEGONWS', 'GEGONOI', 'GEGONOIN', 'GEGONWS', 'GEGENHTAI', 'GE' ]; $VAR33 = [ 'AN', 'EAN' ];

Author Z-Score-Based P-Values
$VAR1 = '0.165575575956296'; $VAR2 = '0.137097522386294';
Good compatibility. Z-Score-Based P-Value > 0.10.
Good indicator. 6.2% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '3.84185426285608e-05'; $VAR2 = '6.63279409515777e-05'; $VAR3 = '1.22075614228443e-08'; $VAR4 = '8.69437444083002e-150'; $VAR5 = '2.26103459946395e-10'; $VAR6 = '0.0185210228228143'; $VAR7 = '2.09851943001912e-06'; $VAR8 = '0.000204014561460583'; $VAR9 = '0.000498213470391254'; $VAR10 = '0.000766919531089296'; $VAR11 = '0.00387725703478507'; $VAR12 = '0.0297893786074652'; $VAR13 = '6.22179228555239e-05'; $VAR14 = '0.000681896389403723'; $VAR15 = '0.00177379720664217'; $VAR16 = '1.51987004717721e-05'; $VAR17 = '0.0375683631839069'; $VAR18 = '0.0218183576067497'; $VAR19 = '0.00130772838358327'; $VAR20 = '0.0190050175500925'; $VAR21 = '0.0671578502476146'; $VAR22 = '0.0053213372589632'; $VAR23 = '0.0103646916756119'; $VAR24 = '0.00309885020682265'; $VAR25 = '0.0539879027187562'; $VAR26 = '0.10368561469315'; $VAR27 = '0.0940448137760451'; $VAR28 = '0.0834021284900247'; $VAR29 = '0.0601074358704841'; $VAR30 = '0.067159141530181'; $VAR31 = '0.0882029469866702';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.547044242990119'; $VAR2 = '0.452955757009881';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.61492551361351'; $VAR3 = 26; $VAR4 = '0.38507448638649';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.151724137931034
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.868263473053892

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.210526315789474
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.826086956521739
testsize: 2644
$VAR1 = 159; $VAR2 = 127; $VAR3 = 75; $VAR4 = 173; $VAR5 = 56; $VAR6 = 37; $VAR7 = 3; $VAR8 = 7; $VAR9 = 2; $VAR10 = 59; $VAR11 = 16; $VAR12 = 160; $VAR13 = 4; $VAR14 = 0; $VAR15 = 68; $VAR16 = 19; $VAR17 = 10; $VAR18 = 7; $VAR19 = 15; $VAR20 = 25; $VAR21 = 10; $VAR22 = 20; $VAR23 = 19; $VAR24 = 4; $VAR25 = 15; $VAR26 = 6; $VAR27 = 6; $VAR28 = 1; $VAR29 = 20; $VAR30 = 6; $VAR31 = 11; $VAR32 = 7; $VAR33 = 13;

33 Words
$VAR1 = [ 'O', 'OI', 'H', 'AI', 'TO', 'TA' ]; $VAR2 = [ 'TOU', 'TWN', 'THS' ]; $VAR3 = [ 'TWi', 'TOIS', 'THi', 'TAIS' ]; $VAR4 = [ 'TON', 'TOUS', 'THN', 'TAS', 'TO', 'TA' ]; $VAR5 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR6 = [ 'OUTOS', 'TOUTOU', 'TOUTWi', 'TOUTON', 'AUTOI', 'TOUTWN', 'TOUTOIS', 'TOUTOUS', 'AUTH', 'TAUTHS', 'TAUTHi', 'TAUTHN', 'AUTAI', 'TAUTAIS', 'TAUTAS', 'TOUTO', 'TOUTO', 'TAUTA' ]; $VAR7 = [ 'ODE', 'TOUDE', 'TWiDE', 'TONDE', 'OIDE', 'TWNDE', 'TOISDE', 'TOUSDE', 'HDE', 'THSDE', 'THiDE', 'THNDE', 'AIDE', 'TWNDE', 'TAISDE', 'TASDE', 'TODE', 'TOUDE', 'TODE', 'TADE' ]; $VAR8 = [ 'EKEINOS', 'EKEINOU', 'EKEINWi', 'EKEINON', 'EKEINOI', 'EKEINWN', 'EKEINOIS', 'EKEINOUS', 'EKEINH', 'EKEINHS', 'EKEINHi', 'EKEINHN', 'EKEINAI', 'EKEINAIS', 'EKEINAS', 'EKEINO', 'EKEINOU', 'EKEINWi', 'EKEINO', 'EKEINA', 'EKEINWN', 'EKEINOIS', 'EKEINA' ]; $VAR9 = [ 'DH' ]; $VAR10 = [ 'EIMI', 'EI', 'ESTI', 'ESTIN', 'ESMEN', 'ESTE', 'EISI', 'EISIN', 'HN', 'HSQA', 'HN', 'HMEN', 'HTE', 'HSAN', 'ESOMAI', 'ESHi', 'ESEI', 'ESTAI', 'ESOMEQA', 'ESESQE', 'ESONTAI', 'W', 'HiS', 'Hi', 'WMEN', 'HTE', 'WSI', 'EIHN', 'EIHS', 'EIH', 'EIHMEN', 'EIMEN', 'EIHTE', 'EITE', 'EIHSAN', 'EIEN', 'ESOIMHN', 'ESOIO', 'ESOITO', 'ESOIMEQA', 'ESOISQE', 'ESOINTO', 'ISQI', 'ESTW', 'ESTE', 'ESTWN', 'ONTWN', 'ESTWSAN', 'EINAI', 'ESESQAI', 'WN', 'OUSA', 'ON', 'ESOMENOS', 'ESOMENH', 'ESOMENON' ]; $VAR11 = [ 'LEGW', 'LEGEIS', 'LEGEI', 'LEGETON', 'LEGETON', 'LEGOMEN', 'LEGETE', 'LEGOUSI', 'LEGOUSIN', 'LEGW', 'LEGHiS', 'LEGHi', 'LEGHTON', 'LEGHTON', 'LEGWMEN', 'LEGHTE', 'LEGWSI', 'LEGWSIN', 'LEGOIMI', 'LEGOIS', 'LEGOI', 'LEGOITON', 'LEGOITHN', 'LEGOIMEN', 'LEGOITE', 'LEGOIEN', 'LEGE', 'LEGETW', 'LEGETON', 'LEGETWN', 'LEGETE', 'LEGONTWN', 'LEGOMAI', 'LEGEI', 'LEGHi', 'LEGETAI', 'LEGESQON', 'LEGESQON', 'LEGOMEQA', 'LEGESQE', 'LEGONTAI', 'LEGWMAI', 'LEGHi', 'LEGHTAI', 'LEGHSQON', 'LEGHSQON', 'LEGWMEQA', 'LEGHSQE', 'LEGWNTAI', 'LEGOIMHN', 'LEGOIO', 'LEGOITO', 'LEGOISQON', 'LEGOISQHN', 'LEGOIMEQA', 'LEGOISQE', 'LEGOINTO', 'LEGOU', 'LEGESQW', 'LEGESQON', 'LEGESQWN', 'LEGESQE', 'LEGESQWN', 'LEGEIN', 'LEGESQAI', 'LEGWN', 'LEGOUSA', 'LEGON', 'LEGOMENOS', 'LEGOMENH', 'LEGOMENON', 'ELEGON', 'ELEGOMHN', 'ELEGON', 'ELEGES', 'ELEGE', 'ELEGETON', 'ELEGETHN', 'ELEGOMEN', 'ELEGETE', 'ELEGON', 'ELEGOU', 'ELEGETO', 'ELEGESQON', 'ELEGESQHN', 'ELEGOMEQA', 'ELEGESQE', 'ELEGONTO', 'LECW', 'LECOMAI', 'LEXQHSOMAI', 'LECW', 'LECEIS', 'LECEI', 'LECETON', 'LECETON', 'LECOMEN', 'LECETE', 'LECOUSI', 'LECOUSIN', 'LECOIMI' ]; $VAR12 = [ 'KAI', 'KA' ]; $VAR13 = [ 'TE', 'T' ]; $VAR14 = [ 'OUTE', 'OUT', 'OUQ', 'EITE', 'EIT', 'EIQ', 'MHTE', 'MHT', 'MHQ' ]; $VAR15 = [ 'DE', 'D' ]; $VAR16 = [ 'MH' ]; $VAR17 = [ 'META', 'MET', 'MEQ', 'ME', 'M' ]; $VAR18 = [ 'MEN' ]; $VAR19 = [ 'ALLA', 'ALL' ]; $VAR20 = [ 'GAR' ]; $VAR21 = [ 'EIS' ]; $VAR22 = [ 'EPI', 'EP' ]; $VAR23 = [ 'DIA', 'DI' ]; $VAR24 = [ 'EK', 'EC' ]; $VAR25 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR26 = [ 'OUDE', 'OUD', 'MHDE', 'MHD' ]; $VAR27 = [ 'OUN' ]; $VAR28 = [ 'EPEI' ]; $VAR29 = [ 'OTI', 'OT', 'OQ' ]; $VAR30 = [ 'OUN' ]; $VAR31 = [ 'PERI' ]; $VAR32 = [ 'GIGNOMAI', 'GIGNWMAI', 'GIGNOIMHN', 'GIGESQAI', 'EGIGNOMHN', 'GENHSOMAI', 'GENHSOIMEHN', 'GENHQHSOMAI', 'GENHQHSOIMHN', 'GENHSESQAI', 'GENHSOMENOS', 'GENHSOMENH', 'GENHSOMENON', 'GEGONA', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONOIMI', 'GEGONOIHN', 'GEGENHMAI', 'GEGENHMAI', 'GEGENHMENOS', 'GEGONENAI', 'GEGONWS', 'GEGONUIA', 'GEGONOS', 'EGEGONEIN', 'EGEGONH', 'EGEGENHMHN', 'GIGNEI', 'GIGNHi', 'GIGNOIO', 'GIGNOU', 'EGIGNOU', 'GENHSEI', 'GENHSHi', 'GENHSOIO', 'GENHQHSEI', 'GENHQHSHi', 'GENHQHSOIO', 'EGENOU', 'GENHi', 'GENOIO', 'GENOU', 'EGENHQHS', 'GENHQHiS', 'GENHQEIHS', 'GENHQHTI', 'GEGONAS', 'GEGONWS', 'GEGONHS', 'GEGONWS', 'GEGONOIS', 'GEGONOIHS', 'GEGONWS', 'GEGENHSAI', 'GEGENHMENOS', 'GEGENHSO', 'EGEGONEIS', 'EGEGONHS', 'EGEGENHSO', 'GIGNETAI', 'GIGNHTAI', 'GIGNOITO', 'GIGNESQW', 'EGIGNETO', 'GENHSETAI', 'GENHSOITO', 'GENHQHSETAI', 'GENHQHSOITO', 'EGENETO', 'GENHTAI', 'GENOITO', 'GENESQW', 'EGENHQH', 'GENHQHi', 'GENHQEIN', 'GENHQHTW', 'GEGONE', 'GEGONWS', 'GEGONHi', 'GEGONWS', 'GEGONOI', 'GEGONOIN', 'GEGONWS', 'GEGENHTAI', 'GE' ]; $VAR33 = [ 'AN', 'EAN' ];

Author Z-Score-Based P-Values
$VAR1 = '0.221204909473743'; $VAR2 = '0.19535530628576';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '0.000522454716433437'; $VAR2 = '0.000133759498876477'; $VAR3 = '1.38990712521034e-06'; $VAR4 = '5.48292434648254e-118'; $VAR5 = '5.55728631984848e-21'; $VAR6 = '0.0510854017557837'; $VAR7 = '1.08873082545813e-05'; $VAR8 = '0.00178691670799339'; $VAR9 = '0.00408273788447112'; $VAR10 = '0.00875241543673411'; $VAR11 = '0.0183149882471388'; $VAR12 = '0.0652768969250023'; $VAR13 = '0.000160954293850615'; $VAR14 = '0.00935070256058436'; $VAR15 = '0.000656108922487804'; $VAR16 = '4.97869735757322e-05'; $VAR17 = '0.0310660451559847'; $VAR18 = '0.0517972060222957'; $VAR19 = '0.0198957866791588'; $VAR20 = '0.0217165342958798'; $VAR21 = '0.0683622176421123'; $VAR22 = '0.0027863135686854'; $VAR23 = '0.0214567859929799'; $VAR24 = '0.00883849660129867'; $VAR25 = '0.0995084726196967'; $VAR26 = '0.119468142379009'; $VAR27 = '0.109042073303634'; $VAR28 = '0.0655648999413034'; $VAR29 = '0.0350021599076639'; $VAR30 = '0.105949987123089'; $VAR31 = '0.120316538640291';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.53102745078626'; $VAR2 = '0.46897254921374';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.647704297036955'; $VAR3 = 31; $VAR4 = '0.352295702963045';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.62962962962963
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0677966101694915
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.902790279027903

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.769230769230769
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.45010183299389

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 2669
$VAR1 = 163; $VAR2 = 139; $VAR3 = 71; $VAR4 = 157; $VAR5 = 49; $VAR6 = 24; $VAR7 = 1; $VAR8 = 3; $VAR9 = 0; $VAR10 = 59; $VAR11 = 10; $VAR12 = 182; $VAR13 = 5; $VAR14 = 12; $VAR15 = 43; $VAR16 = 18; $VAR17 = 8; $VAR18 = 17; $VAR19 = 23; $VAR20 = 26; $VAR21 = 5; $VAR22 = 24; $VAR23 = 28; $VAR24 = 7; $VAR25 = 12; $VAR26 = 6; $VAR27 = 7; $VAR28 = 4; $VAR29 = 21; $VAR30 = 7; $VAR31 = 12; $VAR32 = 6; $VAR33 = 12;

33 Words
$VAR1 = [ 'O', 'OI', 'H', 'AI', 'TO', 'TA' ]; $VAR2 = [ 'TOU', 'TWN', 'THS' ]; $VAR3 = [ 'TWi', 'TOIS', 'THi', 'TAIS' ]; $VAR4 = [ 'TON', 'TOUS', 'THN', 'TAS', 'TO', 'TA' ]; $VAR5 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR6 = [ 'OUTOS', 'TOUTOU', 'TOUTWi', 'TOUTON', 'AUTOI', 'TOUTWN', 'TOUTOIS', 'TOUTOUS', 'AUTH', 'TAUTHS', 'TAUTHi', 'TAUTHN', 'AUTAI', 'TAUTAIS', 'TAUTAS', 'TOUTO', 'TOUTO', 'TAUTA' ]; $VAR7 = [ 'ODE', 'TOUDE', 'TWiDE', 'TONDE', 'OIDE', 'TWNDE', 'TOISDE', 'TOUSDE', 'HDE', 'THSDE', 'THiDE', 'THNDE', 'AIDE', 'TWNDE', 'TAISDE', 'TASDE', 'TODE', 'TOUDE', 'TODE', 'TADE' ]; $VAR8 = [ 'EKEINOS', 'EKEINOU', 'EKEINWi', 'EKEINON', 'EKEINOI', 'EKEINWN', 'EKEINOIS', 'EKEINOUS', 'EKEINH', 'EKEINHS', 'EKEINHi', 'EKEINHN', 'EKEINAI', 'EKEINAIS', 'EKEINAS', 'EKEINO', 'EKEINOU', 'EKEINWi', 'EKEINO', 'EKEINA', 'EKEINWN', 'EKEINOIS', 'EKEINA' ]; $VAR9 = [ 'DH' ]; $VAR10 = [ 'EIMI', 'EI', 'ESTI', 'ESTIN', 'ESMEN', 'ESTE', 'EISI', 'EISIN', 'HN', 'HSQA', 'HN', 'HMEN', 'HTE', 'HSAN', 'ESOMAI', 'ESHi', 'ESEI', 'ESTAI', 'ESOMEQA', 'ESESQE', 'ESONTAI', 'W', 'HiS', 'Hi', 'WMEN', 'HTE', 'WSI', 'EIHN', 'EIHS', 'EIH', 'EIHMEN', 'EIMEN', 'EIHTE', 'EITE', 'EIHSAN', 'EIEN', 'ESOIMHN', 'ESOIO', 'ESOITO', 'ESOIMEQA', 'ESOISQE', 'ESOINTO', 'ISQI', 'ESTW', 'ESTE', 'ESTWN', 'ONTWN', 'ESTWSAN', 'EINAI', 'ESESQAI', 'WN', 'OUSA', 'ON', 'ESOMENOS', 'ESOMENH', 'ESOMENON' ]; $VAR11 = [ 'LEGW', 'LEGEIS', 'LEGEI', 'LEGETON', 'LEGETON', 'LEGOMEN', 'LEGETE', 'LEGOUSI', 'LEGOUSIN', 'LEGW', 'LEGHiS', 'LEGHi', 'LEGHTON', 'LEGHTON', 'LEGWMEN', 'LEGHTE', 'LEGWSI', 'LEGWSIN', 'LEGOIMI', 'LEGOIS', 'LEGOI', 'LEGOITON', 'LEGOITHN', 'LEGOIMEN', 'LEGOITE', 'LEGOIEN', 'LEGE', 'LEGETW', 'LEGETON', 'LEGETWN', 'LEGETE', 'LEGONTWN', 'LEGOMAI', 'LEGEI', 'LEGHi', 'LEGETAI', 'LEGESQON', 'LEGESQON', 'LEGOMEQA', 'LEGESQE', 'LEGONTAI', 'LEGWMAI', 'LEGHi', 'LEGHTAI', 'LEGHSQON', 'LEGHSQON', 'LEGWMEQA', 'LEGHSQE', 'LEGWNTAI', 'LEGOIMHN', 'LEGOIO', 'LEGOITO', 'LEGOISQON', 'LEGOISQHN', 'LEGOIMEQA', 'LEGOISQE', 'LEGOINTO', 'LEGOU', 'LEGESQW', 'LEGESQON', 'LEGESQWN', 'LEGESQE', 'LEGESQWN', 'LEGEIN', 'LEGESQAI', 'LEGWN', 'LEGOUSA', 'LEGON', 'LEGOMENOS', 'LEGOMENH', 'LEGOMENON', 'ELEGON', 'ELEGOMHN', 'ELEGON', 'ELEGES', 'ELEGE', 'ELEGETON', 'ELEGETHN', 'ELEGOMEN', 'ELEGETE', 'ELEGON', 'ELEGOU', 'ELEGETO', 'ELEGESQON', 'ELEGESQHN', 'ELEGOMEQA', 'ELEGESQE', 'ELEGONTO', 'LECW', 'LECOMAI', 'LEXQHSOMAI', 'LECW', 'LECEIS', 'LECEI', 'LECETON', 'LECETON', 'LECOMEN', 'LECETE', 'LECOUSI', 'LECOUSIN', 'LECOIMI' ]; $VAR12 = [ 'KAI', 'KA' ]; $VAR13 = [ 'TE', 'T' ]; $VAR14 = [ 'OUTE', 'OUT', 'OUQ', 'EITE', 'EIT', 'EIQ', 'MHTE', 'MHT', 'MHQ' ]; $VAR15 = [ 'DE', 'D' ]; $VAR16 = [ 'MH' ]; $VAR17 = [ 'META', 'MET', 'MEQ', 'ME', 'M' ]; $VAR18 = [ 'MEN' ]; $VAR19 = [ 'ALLA', 'ALL' ]; $VAR20 = [ 'GAR' ]; $VAR21 = [ 'EIS' ]; $VAR22 = [ 'EPI', 'EP' ]; $VAR23 = [ 'DIA', 'DI' ]; $VAR24 = [ 'EK', 'EC' ]; $VAR25 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR26 = [ 'OUDE', 'OUD', 'MHDE', 'MHD' ]; $VAR27 = [ 'OUN' ]; $VAR28 = [ 'EPEI' ]; $VAR29 = [ 'OTI', 'OT', 'OQ' ]; $VAR30 = [ 'OUN' ]; $VAR31 = [ 'PERI' ]; $VAR32 = [ 'GIGNOMAI', 'GIGNWMAI', 'GIGNOIMHN', 'GIGESQAI', 'EGIGNOMHN', 'GENHSOMAI', 'GENHSOIMEHN', 'GENHQHSOMAI', 'GENHQHSOIMHN', 'GENHSESQAI', 'GENHSOMENOS', 'GENHSOMENH', 'GENHSOMENON', 'GEGONA', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONW', 'GEGONWS', 'GEGONOIMI', 'GEGONOIHN', 'GEGENHMAI', 'GEGENHMAI', 'GEGENHMENOS', 'GEGONENAI', 'GEGONWS', 'GEGONUIA', 'GEGONOS', 'EGEGONEIN', 'EGEGONH', 'EGEGENHMHN', 'GIGNEI', 'GIGNHi', 'GIGNOIO', 'GIGNOU', 'EGIGNOU', 'GENHSEI', 'GENHSHi', 'GENHSOIO', 'GENHQHSEI', 'GENHQHSHi', 'GENHQHSOIO', 'EGENOU', 'GENHi', 'GENOIO', 'GENOU', 'EGENHQHS', 'GENHQHiS', 'GENHQEIHS', 'GENHQHTI', 'GEGONAS', 'GEGONWS', 'GEGONHS', 'GEGONWS', 'GEGONOIS', 'GEGONOIHS', 'GEGONWS', 'GEGENHSAI', 'GEGENHMENOS', 'GEGENHSO', 'EGEGONEIS', 'EGEGONHS', 'EGEGENHSO', 'GIGNETAI', 'GIGNHTAI', 'GIGNOITO', 'GIGNESQW', 'EGIGNETO', 'GENHSETAI', 'GENHSOITO', 'GENHQHSETAI', 'GENHQHSOITO', 'EGENETO', 'GENHTAI', 'GENOITO', 'GENESQW', 'EGENHQH', 'GENHQHi', 'GENHQEIN', 'GENHQHTW', 'GEGONE', 'GEGONWS', 'GEGONHi', 'GEGONWS', 'GEGONOI', 'GEGONOIN', 'GEGONWS', 'GEGENHTAI', 'GE' ]; $VAR33 = [ 'AN', 'EAN' ];

Author Z-Score-Based P-Values
$VAR1 = '0.180405603331956'; $VAR2 = '0.170427926625862';
Good compatibility. Z-Score-Based P-Value > 0.10.
Decent indicator. 15.6% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.97397564366692e-07'; $VAR2 = '3.30327267318137e-06'; $VAR3 = '5.51018814342758e-08'; $VAR4 = '4.81047223778695e-121'; $VAR5 = '4.78043062419247e-19'; $VAR6 = '0.0226541398922381'; $VAR7 = '1.47263414773084e-07'; $VAR8 = '0.00454744216020738'; $VAR9 = '0.00561154040746882'; $VAR10 = '0.00306985543639815'; $VAR11 = '0.00705124531632956'; $VAR12 = '0.0620313587265133'; $VAR13 = '0.000534581466640076'; $VAR14 = '0.00502100617041863'; $VAR15 = '0.00357260429694998'; $VAR16 = '3.68726633102579e-05'; $VAR17 = '0.0303033458952502'; $VAR18 = '0.0213373263670396'; $VAR19 = '0.00688446867335415'; $VAR20 = '0.0250438381094681'; $VAR21 = '0.0846025517463519'; $VAR22 = '0.00309935189252672'; $VAR23 = '0.0167199127716747'; $VAR24 = '0.0027900412480039'; $VAR25 = '0.0898970980387725'; $VAR26 = '0.118017535451365'; $VAR27 = '0.0936766259102749'; $VAR28 = '0.105540320542743'; $VAR29 = '0.0482380145750182'; $VAR30 = '0.133076226957506'; $VAR31 = '0.155659166304662';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.514219958832459'; $VAR2 = '0.485780041167541';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.536817957821125'; $VAR3 = 31; $VAR4 = '0.463182042178875';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.16382252559727
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
0.859237536656892

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.0769230769230769
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.928571428571429
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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