Origen -- A Basic Stylometric Study

Discussion about the New Testament, apocrypha, gnostics, church fathers, Christian origins, historical Jesus or otherwise, etc.
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Peter Kirby
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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Sat Jun 06, 2015 5:49 pm

The 'Libri x in Canticum canticorum (fragmenta)' measures 2688 words, before quotations are removed, and 1829 words, after quotations are removed. 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.
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The text may have been written by Clement of Alexandria, by Origen or both
True. If you don-know, you don-know, you know.
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Peter Kirby
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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Sat Jun 06, 2015 5:57 pm

On the other hand, if you are trying to make the suggestion that 'Clement of Alexandria' and 'Origen' were one and the same person, that is something we know isn't true; in particular, we know that isn't true of them as authors. The works attributed to Clement and the works attributed to Origen cleave far too cleanly for that suggestion to be sustained with any real credibility whatsoever.
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Sat Jun 06, 2015 6:31 pm

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.

Eight samples of 2000 word each.
testsize: 2167


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.210108775889993'; $VAR2 = '0.184702817544722'; $VAR3 = '0.24898894161288'; $VAR4 = '0.356199464952405';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.533628284208928'; $VAR3 = 25; $VAR4 = '0.466371715791072';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.939393939393939
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.0688935281837161
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
0.931672731835864

Author Z-Score-Based P-Values
$VAR1 = '0.0924239510665098'; $VAR2 = '0.0812482205861678'; $VAR3 = '0.109526799431641'; $VAR4 = '0.156687229170831';
Good compatibility. Z-Score-Based P-Value > 0.15.
Excellent indicator. 0% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '0.000652410890725196'; $VAR2 = '0.00799638974180654'; $VAR3 = '2.6620438065011e-05'; $VAR4 = '4.85027326631623e-06'; $VAR5 = '3.42245860978483e-07'; $VAR6 = '0.0460193083510066'; $VAR7 = '0.000224901736043147'; $VAR8 = '0.00285781930800102'; $VAR9 = '0.011472249524857'; $VAR10 = '0.025549092026437'; $VAR11 = '0.0116884874439418'; $VAR12 = '0.0564049842815842'; $VAR13 = '0.000693167724969137'; $VAR14 = '0.00510779563548587'; $VAR15 = '6.79093927505983e-06'; $VAR16 = '1.756589439163e-06'; $VAR17 = '0.00229275364756446'; $VAR18 = '0.0235291954568792'; $VAR19 = '0.00626923346285166'; $VAR20 = '0.0497229223781273'; $VAR21 = '0.0296105891578944'; $VAR22 = '5.09537336444281e-05'; $VAR23 = '0.0279566675780848'; $VAR24 = '0.0116517724147408'; $VAR25 = '0.136938940594721'; $VAR26 = '0.127496546621513'; $VAR27 = '0.101549512705165'; $VAR28 = '0.124871138517147'; $VAR29 = '0.0121593903600049'; $VAR30 = '0.113763269683783';
testsize: 2186


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.230721607406668'; $VAR2 = '0.197612978386099'; $VAR3 = '0.259207252542368'; $VAR4 = '0.312458161664866';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.489356925086652'; $VAR3 = 25; $VAR4 = '0.510643074913348';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.12 Test, Z-Score-Based Method
0.96969696969697
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.12 Test, Z-Score-Based Method
0.218220338983051
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
0.816300059449819

Author Z-Score-Based P-Values
$VAR1 = '0.0933714798062221'; $VAR2 = '0.0799726407431912'; $VAR3 = '0.104899428442898'; $VAR4 = '0.126449712534974';
Good compatibility. Z-Score-Based P-Value > 0.1.
Decent indicator. 15.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '0.000491578751867522'; $VAR2 = '0.00143649281409893'; $VAR3 = '1.28238649499141e-05'; $VAR4 = '1.85993392913893e-06'; $VAR5 = '2.56655709791794e-05'; $VAR6 = '0.0490024023277006'; $VAR7 = '0.000310287408579563'; $VAR8 = '0.00803649326695515'; $VAR9 = '0.000826211226662672'; $VAR10 = '0.037940439430942'; $VAR11 = '0.0243853353210864'; $VAR12 = '0.0592754677919004'; $VAR13 = '0.000489389100691452'; $VAR14 = '0.0205066369623527'; $VAR15 = '0.000217288767985519'; $VAR16 = '0.000121971368457521'; $VAR17 = '0.00566168493271109'; $VAR18 = '0.0366361278304119'; $VAR19 = '0.00425019403053118'; $VAR20 = '0.0258005202517873'; $VAR21 = '0.0273275736526453'; $VAR22 = '0.000428682080363416'; $VAR23 = '0.0160259062635218'; $VAR24 = '0.0096183829649109'; $VAR25 = '0.131950048564929'; $VAR26 = '0.105179004691318'; $VAR27 = '0.131261268764075'; $VAR28 = '0.0813733718189967'; $VAR29 = '0.0125537244683367'; $VAR30 = '0.128416033682811';
testsize: 2190


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.291852131975563'; $VAR2 = '0.23678002292064'; $VAR3 = '0.22623178182908'; $VAR4 = '0.245136063274717';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.480818733613884'; $VAR3 = 25; $VAR4 = '0.519181266386116';

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
0.209567198177677
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
0.826741996233522

Author Z-Score-Based P-Values
$VAR1 = '0.108059850693191'; $VAR2 = '0.0876691006186553'; $VAR3 = '0.0837635565689538'; $VAR4 = '0.0907629703359523';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '4.43303738460167e-05'; $VAR2 = '0.000428480120567958'; $VAR3 = '2.46430807122169e-07'; $VAR4 = '8.21467784834236e-08'; $VAR5 = '1.18527945224147e-07'; $VAR6 = '0.0405369625514132'; $VAR7 = '1.97341168845927e-05'; $VAR8 = '0.000455737697818113'; $VAR9 = '6.42261234452064e-05'; $VAR10 = '0.0149993622968174'; $VAR11 = '0.0271820099400082'; $VAR12 = '0.0504491781901611'; $VAR13 = '0.000342824540622729'; $VAR14 = '0.00990290683423961'; $VAR15 = '9.0856412828692e-05'; $VAR16 = '0.000150272403686956'; $VAR17 = '0.0032144460740628'; $VAR18 = '0.0303740892807104'; $VAR19 = '0.00473899765662751'; $VAR20 = '0.0130308120903144'; $VAR21 = '0.0137421563737061'; $VAR22 = '0.000299870237151996'; $VAR23 = '0.00650936729357475'; $VAR24 = '0.00364661806090721'; $VAR25 = '0.116681498049612'; $VAR26 = '0.0633913579720091'; $VAR27 = '0.0709015418011844'; $VAR28 = '0.0547774354715554'; $VAR29 = '0.00650792140521403'; $VAR30 = '0.0761981735322241';
testsize: 2176


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.204495177148615'; $VAR2 = '0.161797668358263'; $VAR3 = '0.294576283503997'; $VAR4 = '0.339130870989126';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.525177176403588'; $VAR3 = 25; $VAR4 = '0.474822823596413';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.878787878787879
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.046218487394958
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
0.950034411562285

Author Z-Score-Based P-Values
$VAR1 = '0.0969941263392856'; $VAR2 = '0.0767422670058284'; $VAR3 = '0.139720504205238'; $VAR4 = '0.160853194705741';
Good compatibility. Z-Score-Based P-Value > 0.15.
Excellent indicator. 0% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '0.00026722146358703'; $VAR2 = '0.00042654038405297'; $VAR3 = '4.51796612949364e-05'; $VAR4 = '3.38787177699687e-05'; $VAR5 = '1.3311717919998e-09'; $VAR6 = '0.0512570010634394'; $VAR7 = '1.56424659809698e-05'; $VAR8 = '0.0209629197936194'; $VAR9 = '0.0328747745844416'; $VAR10 = '0.0549581532022229'; $VAR11 = '0.0338793098451784'; $VAR12 = '0.0771754989016289'; $VAR13 = '0.00159686930977623'; $VAR14 = '0.0151067657985956'; $VAR15 = '1.07968967292444e-06'; $VAR16 = '4.7460460293896e-05'; $VAR17 = '0.000929533915835839'; $VAR18 = '0.0428528363194809'; $VAR19 = '0.00679312928109993'; $VAR20 = '0.0351757131641238'; $VAR21 = '0.0259595725784998'; $VAR22 = '3.68426856752392e-06'; $VAR23 = '0.0403354903205027'; $VAR24 = '0.0128267279169977'; $VAR25 = '0.145430478562895'; $VAR26 = '0.0753300571535586'; $VAR27 = '0.0867415399317885'; $VAR28 = '0.0937430010602363'; $VAR29 = '0.0093704685063661'; $VAR30 = '0.109035022415867';
testsize: 2099


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.278425432428226'; $VAR2 = '0.256465983804713'; $VAR3 = '0.244754857631974'; $VAR4 = '0.220353726135086';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.511638418551842'; $VAR3 = 25; $VAR4 = '0.488361581448158';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.691176470588235
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.052060737527115
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
0.929954075282201

Author Z-Score-Based P-Values
$VAR1 = '0.206414404855237'; $VAR2 = '0.190134474968659'; $VAR3 = '0.181452275508473'; $VAR4 = '0.163362171483859';
Excellent compatibility. Z-Score-Based P-Value > 0.2.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '0.000214043682091774'; $VAR2 = '0.00238598544314101'; $VAR3 = '0.000106915246076946'; $VAR4 = '5.40939945673591e-05'; $VAR5 = '3.57597814450925e-08'; $VAR6 = '0.0550849620153209'; $VAR7 = '7.46403780332046e-06'; $VAR8 = '0.00368113164489401'; $VAR9 = '0.0261011599800288'; $VAR10 = '0.0297360200732055'; $VAR11 = '0.0575851472332205'; $VAR12 = '0.123993129327373'; $VAR13 = '0.0134374360673632'; $VAR14 = '0.0133620852117489'; $VAR15 = '0.000887737015032089'; $VAR16 = '0.000115401417258494'; $VAR17 = '0.00728881038123681'; $VAR18 = '0.0522634894597334'; $VAR19 = '0.019831535657437'; $VAR20 = '0.0737551447367299'; $VAR21 = '0.0872631965947768'; $VAR22 = '0.00166151152475964'; $VAR23 = '0.0310330738705283'; $VAR24 = '0.0359486941862068'; $VAR25 = '0.197023643130837'; $VAR26 = '0.125693508869815'; $VAR27 = '0.119723423879722'; $VAR28 = '0.1158529087547'; $VAR29 = '0.0306550543221836'; $VAR30 = '0.174991306402149';
testsize: 2132


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.273261480722657'; $VAR2 = '0.257934375886321'; $VAR3 = '0.291513745378952'; $VAR4 = '0.17729039801207';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.593283130183887'; $VAR3 = 21; $VAR4 = '0.406716869816113';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.19 Test, Z-Score-Based Method
0.852459016393443
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.19 Test, Z-Score-Based Method
0.0217391304347826
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
0.975132490827558

Author Z-Score-Based P-Values
$VAR1 = '0.186390012416903'; $VAR2 = '0.175935486395875'; $VAR3 = '0.198839772357187'; $VAR4 = '0.120928714136649';
Good compatibility. Z-Score-Based P-Value > 0.15.
Good indicator. 6% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '4.88477004609049e-06'; $VAR2 = '0.000395281399700868'; $VAR3 = '1.54186753545097e-06'; $VAR4 = '3.42394195760696e-19'; $VAR5 = '2.71774794592084e-10'; $VAR6 = '0.0224235814379762'; $VAR7 = '4.2322490290985e-07'; $VAR8 = '0.000444701796985406'; $VAR9 = '0.00385637105067395'; $VAR10 = '0.00942742345240245'; $VAR11 = '0.022916378090182'; $VAR12 = '0.118646146558904'; $VAR13 = '0.00590931581143989'; $VAR14 = '0.00830109575605186'; $VAR15 = '0.00255711777729572'; $VAR16 = '0.000125786667059469'; $VAR17 = '0.0346762421875126'; $VAR18 = '0.0423182789130069'; $VAR19 = '0.0140068324496518'; $VAR20 = '0.0537215306077117'; $VAR21 = '0.136311797342017'; $VAR22 = '0.0115783021159292'; $VAR23 = '0.0197984664499681'; $VAR24 = '0.00676386531590496'; $VAR25 = '0.106964696146976'; $VAR26 = '0.068127739219282'; $VAR27 = '0.118922813363244'; $VAR28 = '0.0640721880948033'; $VAR29 = '0.014332515758279'; $VAR30 = '0.107961941177447';
testsize: 2176


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.290807728990417'; $VAR2 = '0.257627158291889'; $VAR3 = '0.22134501465655'; $VAR4 = '0.230220098061144';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.50369857631549'; $VAR3 = 25; $VAR4 = '0.49630142368451';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.19 Test, Z-Score-Based Method
0.742424242424242
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.19 Test, Z-Score-Based Method
0.0586907449209932
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
0.926738675660675

Author Z-Score-Based P-Values
$VAR1 = '0.195671534963363'; $VAR2 = '0.173345810602181'; $VAR3 = '0.148933176311013'; $VAR4 = '0.154904823621536';
Good compatibility. Z-Score-Based P-Value > 0.15.
Good indicator. 9% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '0.000111265638058282'; $VAR2 = '0.00237671755392224'; $VAR3 = '2.20814492549802e-05'; $VAR4 = '9.5358430326421e-08'; $VAR5 = '1.21804254126104e-08'; $VAR6 = '0.0445424102882624'; $VAR7 = '1.92171238053371e-05'; $VAR8 = '0.00714991113544797'; $VAR9 = '0.0129501229154448'; $VAR10 = '0.0142374401282067'; $VAR11 = '0.0285622203503869'; $VAR12 = '0.0747787304267717'; $VAR13 = '0.00422442603483494'; $VAR14 = '0.0110746955718438'; $VAR15 = '0.000451462400950796'; $VAR16 = '0.00017992842972076'; $VAR17 = '0.0177801794969938'; $VAR18 = '0.0520612530174938'; $VAR19 = '0.0236565556132334'; $VAR20 = '0.0394423573108785'; $VAR21 = '0.0616381861986232'; $VAR22 = '0.00267132450755887'; $VAR23 = '0.031013317622666'; $VAR24 = '0.0119436687895131'; $VAR25 = '0.192797966766586'; $VAR26 = '0.124924325986914'; $VAR27 = '0.142648303407721'; $VAR28 = '0.0914362146548924'; $VAR29 = '0.0292142571404877'; $VAR30 = '0.144306523116371';
testsize: 2189


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.229815141551278'; $VAR2 = '0.208966730050981'; $VAR3 = '0.297130407172416'; $VAR4 = '0.264087721225325';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.479662033522272'; $VAR3 = 25; $VAR4 = '0.520337966477728';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.18 Test, Z-Score-Based Method
0.898305084745763
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.18 Test, Z-Score-Based Method
0.0201793721973094
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
0.97802970747652

Author Z-Score-Based P-Values
$VAR1 = '0.140898630422086'; $VAR2 = '0.128116563030706'; $VAR3 = '0.182169317237998'; $VAR4 = '0.161910994988271';
Good compatibility. Z-Score-Based P-Value > 0.15.
Decent indicator. 12.1% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '0.000364704415684566'; $VAR2 = '0.00462634472379687'; $VAR3 = '0.000640774337306398'; $VAR4 = '7.81953747063093e-07'; $VAR5 = '5.30867122964097e-06'; $VAR6 = '0.0841127035788741'; $VAR7 = '0.00033120188873052'; $VAR8 = '0.0131171836864323'; $VAR9 = '0.00729536978514245'; $VAR10 = '0.0407473877448045'; $VAR11 = '0.0656215631566477'; $VAR12 = '0.0776158710156531'; $VAR13 = '0.0150168565113483'; $VAR14 = '0.0284062955504095'; $VAR15 = '0.00228596668884131'; $VAR16 = '0.000694193677895464'; $VAR17 = '0.0256610797614994'; $VAR18 = '0.0676189657736873'; $VAR19 = '0.0192472742836112'; $VAR20 = '0.04673745904358'; $VAR21 = '0.0740140075288137'; $VAR22 = '0.00518536083724584'; $VAR23 = '0.0218516031203232'; $VAR24 = '0.0234494032405613'; $VAR25 = '0.197617500368318'; $VAR26 = '0.141930473647723'; $VAR27 = '0.181761279543804'; $VAR28 = '0.103090795735307'; $VAR29 = '0.0372205054822517'; $VAR30 = '0.162068559906638';
Four samples of 4000 words each.
testsize: 4353


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.214558021745285'; $VAR2 = '0.133507077752069'; $VAR3 = '0.305098379646456'; $VAR4 = '0.34683652085619';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.548651594255231'; $VAR3 = 26; $VAR4 = '0.451348405744769';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.086 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.086 Test, Z-Score-Based Method
0.21304347826087
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
0.824372759856631

Author Z-Score-Based P-Values
$VAR1 = '0.0532268840445494'; $VAR2 = '0.0331200189525991'; $VAR3 = '0.0756878533066483'; $VAR4 = '0.086042121044272';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Decent indicator. 15.1% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '3.06632979668127e-33'; $VAR2 = '8.85178105990308e-08'; $VAR3 = '0'; $VAR4 = '3.22636001792345e-268'; $VAR5 = '8.26301306865184e-29'; $VAR6 = '6.97419373251747e-09'; $VAR7 = '1.21927998310897e-08'; $VAR8 = '3.48824271702323e-13'; $VAR9 = '0.000409815697659396'; $VAR10 = '0.00326077859076495'; $VAR11 = '2.640691622249e-05'; $VAR12 = '0.00801304299773778'; $VAR13 = '3.36841148398392e-67'; $VAR14 = '1.83672850958731e-05'; $VAR15 = '3.25263678134411e-11'; $VAR16 = '2.02119819367505e-13'; $VAR17 = '3.27357450970928e-05'; $VAR18 = '0.0102776478786868'; $VAR19 = '7.39865163821419e-07'; $VAR20 = '0.00365476177318558'; $VAR21 = '0.00404857980959854'; $VAR22 = '2.9550309469627e-08'; $VAR23 = '0.0039492213551662'; $VAR24 = '0.000115502862395308'; $VAR25 = '0.0700181166692729'; $VAR26 = '0.0707825778086863'; $VAR27 = '0.0512466291423418'; $VAR28 = '0.0329979240677573'; $VAR29 = '0.00104453584054624'; $VAR30 = '0.0451457058942899';
testsize: 4366


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.255824453139011'; $VAR2 = '0.132985629355062'; $VAR3 = '0.299033741109848'; $VAR4 = '0.31215617639608';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.58808541811282'; $VAR3 = 25; $VAR4 = '0.41191458188718';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0746 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0746 Test, Z-Score-Based Method
0.286343612334802
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
0.777397260273973

Author Z-Score-Based P-Values
$VAR1 = '0.0611464028973845'; $VAR2 = '0.031785831152303'; $VAR3 = '0.0714741588986384'; $VAR4 = '0.0746106445049255';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Good indicator. 9% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '1.5706313619648e-78'; $VAR2 = '2.72229412061652e-11'; $VAR3 = '0'; $VAR4 = '0'; $VAR5 = '6.622143420062e-43'; $VAR6 = '3.04496451785044e-05'; $VAR7 = '3.77969002621827e-12'; $VAR8 = '2.34246234266115e-16'; $VAR9 = '0.000109645932507018'; $VAR10 = '0.0021571110140077'; $VAR11 = '0.000118537502991377'; $VAR12 = '0.018386805733474'; $VAR13 = '4.7570102208762e-64'; $VAR14 = '1.7839745274515e-05'; $VAR15 = '1.07528915482795e-12'; $VAR16 = '6.83978182235749e-11'; $VAR17 = '3.70831087981423e-06'; $VAR18 = '0.0121797250462615'; $VAR19 = '2.0394282510016e-06'; $VAR20 = '0.00113241722377358'; $VAR21 = '0.00110534756474144'; $VAR22 = '1.10699604947984e-08'; $VAR23 = '0.0031909911267826'; $VAR24 = '1.86195786308331e-05'; $VAR25 = '0.0522597763675267'; $VAR26 = '0.0321331555686684'; $VAR27 = '0.0130158826407279'; $VAR28 = '0.0120615920726894'; $VAR29 = '0.000146143132535059'; $VAR30 = '0.0287525898298311';
testsize: 4231


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.291645637442882'; $VAR2 = '0.219872192079621'; $VAR3 = '0.304490920127948'; $VAR4 = '0.183991250349549';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.672666363090257'; $VAR3 = 25; $VAR4 = '0.327333636909743';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.18 Test, Z-Score-Based Method
0.766666666666667
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.18 Test, Z-Score-Based Method
0.00440528634361234
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
0.994286802513807

Author Z-Score-Based P-Values
$VAR1 = '0.174807682342983'; $VAR2 = '0.131787838988804'; $VAR3 = '0.182506937215796'; $VAR4 = '0.110281382320663';
Good compatibility. Z-Score-Based P-Value > 0.15.
Great indicator. 3% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '3.89317442908845e-24'; $VAR2 = '7.33300708415773e-09'; $VAR3 = '0'; $VAR4 = '1.23607713598778e-277'; $VAR5 = '9.28708265383333e-58'; $VAR6 = '0.00170447684685638'; $VAR7 = '1.91667468877897e-15'; $VAR8 = '1.41855614595282e-16'; $VAR9 = '0.00298396835557863'; $VAR10 = '0.0013825541116381'; $VAR11 = '0.00175147978486605'; $VAR12 = '0.0546056044609166'; $VAR13 = '2.42082034211081e-11'; $VAR14 = '0.000119351393009133'; $VAR15 = '4.39293285393225e-06'; $VAR16 = '1.23341099891149e-10'; $VAR17 = '0.000117881607684711'; $VAR18 = '0.0116747114224383'; $VAR19 = '0.000173472626489347'; $VAR20 = '0.0128053707836839'; $VAR21 = '0.029499789882856'; $VAR22 = '4.57805905525117e-05'; $VAR23 = '0.00351494055798427'; $VAR24 = '0.00109882302122171'; $VAR25 = '0.0888117242040371'; $VAR26 = '0.0499155370034306'; $VAR27 = '0.0607717892009356'; $VAR28 = '0.0189651432328698'; $VAR29 = '0.000145545491988791'; $VAR30 = '0.0880768159646931';
testsize: 4365


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.271275828211392'; $VAR2 = '0.210022029969451'; $VAR3 = '0.249617255719042'; $VAR4 = '0.269084886100115';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.552286461170596'; $VAR3 = 25; $VAR4 = '0.447713538829404';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.12 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.12 Test, Z-Score-Based Method
0.0805687203791469
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
0.925438596491228

Author Z-Score-Based P-Values
$VAR1 = '0.129221533688418'; $VAR2 = '0.100043446553811'; $VAR3 = '0.118904529134727'; $VAR4 = '0.128177884124399';
Good compatibility. Z-Score-Based P-Value > 0.1.
Decent indicator. 12.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.7166959178628e-46'; $VAR2 = '1.76240516104571e-07'; $VAR3 = '3.13103952010912e-280'; $VAR4 = '0'; $VAR5 = '2.98055835279535e-33'; $VAR6 = '0.000231088859299261'; $VAR7 = '8.35270193331984e-11'; $VAR8 = '4.29651613209817e-11'; $VAR9 = '0.000550172088357112'; $VAR10 = '0.00127335861098282'; $VAR11 = '0.000827205982340536'; $VAR12 = '0.0261657572298642'; $VAR13 = '8.01017485944621e-28'; $VAR14 = '0.000145847418193985'; $VAR15 = '2.40439864552466e-07'; $VAR16 = '4.60531449674615e-09'; $VAR17 = '0.00098434070953281'; $VAR18 = '0.0324479861885693'; $VAR19 = '0.000219299545646495'; $VAR20 = '0.00238044043225019'; $VAR21 = '0.0162018540962098'; $VAR22 = '3.94423619957057e-05'; $VAR23 = '0.0090885710649565'; $VAR24 = '0.000411801472336486'; $VAR25 = '0.10475402568801'; $VAR26 = '0.0926157326861853'; $VAR27 = '0.0513934429566106'; $VAR28 = '0.0303884475006221'; $VAR29 = '0.00550717672562806'; $VAR30 = '0.0751209075554194';
"... 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 » Sat Jun 06, 2015 7:20 pm

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.
testsize: 2588


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.190990098635767'; $VAR2 = '0.180690669880186'; $VAR3 = '0.359209967680365'; $VAR4 = '0.269109263803683';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.612256810773733'; $VAR3 = 27; $VAR4 = '0.387743189226267';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.22 Test, Z-Score-Based Method
0.54
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.22 Test, Z-Score-Based Method
0.00267379679144385
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
0.995072920772566

Author Z-Score-Based P-Values
$VAR1 = '0.118771929590061'; $VAR2 = '0.112366974381841'; $VAR3 = '0.223383627183439'; $VAR4 = '0.167352269886406';
Excellent compatibility. Z-Score-Based P-Value > 0.2.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '2.01962458128656e-05'; $VAR2 = '7.2798417002899e-05'; $VAR3 = '1.97403496819525e-09'; $VAR4 = '2.01587988039256e-115'; $VAR5 = '7.89982541731172e-16'; $VAR6 = '0.0418783342021156'; $VAR7 = '4.8598734808529e-08'; $VAR8 = '0.00350097974418989'; $VAR9 = '0.00914288347184651'; $VAR10 = '0.0174170490308517'; $VAR11 = '0.0336990295178189'; $VAR12 = '0.0628217138728795'; $VAR13 = '0.000482526828255554'; $VAR14 = '0.00254879168049103'; $VAR15 = '7.20119330728294e-05'; $VAR16 = '2.2752062479982e-05'; $VAR17 = '0.011098782248472'; $VAR18 = '0.0338233675745557'; $VAR19 = '0.00533505322446427'; $VAR20 = '0.0410864029500389'; $VAR21 = '0.043966354951149'; $VAR22 = '0.000240301453829076'; $VAR23 = '0.021480754229031'; $VAR24 = '0.00275437688832069'; $VAR25 = '0.140357047500421'; $VAR26 = '0.040209124307362'; $VAR27 = '0.141469198056904'; $VAR28 = '0.0680096263081542'; $VAR29 = '0.0140976704617091'; $VAR30 = '0.136043573776311';
testsize: 2562


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.273230851937219'; $VAR2 = '0.218214099619118'; $VAR3 = '0.247538673503768'; $VAR4 = '0.261016374939896';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.479787344526772'; $VAR3 = 25; $VAR4 = '0.520212655473228';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0876 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0876 Test, Z-Score-Based Method
0.238726790450928
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
0.80728051391863

Author Z-Score-Based P-Values
$VAR1 = '0.0876872141389599'; $VAR2 = '0.070030841487251'; $VAR3 = '0.0794418950762794'; $VAR4 = '0.0837672561530084';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Poor indicator. 21.2% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '3.62249613784061e-06'; $VAR2 = '0.000267156680258623'; $VAR3 = '2.35861766042192e-18'; $VAR4 = '8.23111308441805e-118'; $VAR5 = '5.56473468117783e-20'; $VAR6 = '0.00514232486353896'; $VAR7 = '3.4816380783495e-08'; $VAR8 = '8.38451100094513e-05'; $VAR9 = '0.000911145665127395'; $VAR10 = '0.000905937117004584'; $VAR11 = '0.00987401775495647'; $VAR12 = '0.0207258300471119'; $VAR13 = '1.15620892144828e-07'; $VAR14 = '0.000197328398011661'; $VAR15 = '4.22129729415225e-06'; $VAR16 = '8.80957071988512e-08'; $VAR17 = '0.00150901265607598'; $VAR18 = '0.0100946091586792'; $VAR19 = '0.00260862861662377'; $VAR20 = '0.0140288244109861'; $VAR21 = '0.00547337474784277'; $VAR22 = '2.09380201603862e-05'; $VAR23 = '0.00650932112949436'; $VAR24 = '0.000553250429642449'; $VAR25 = '0.0950754517363737'; $VAR26 = '0.0614938753472614'; $VAR27 = '0.0348867456659309'; $VAR28 = '0.0682637088083912'; $VAR29 = '0.00422150537105577'; $VAR30 = '0.084893900154351';
testsize: 2598


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.287012564679163'; $VAR2 = '0.215099629847559'; $VAR3 = '0.246763929520315'; $VAR4 = '0.251123875952963';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.516006164615779'; $VAR3 = 25; $VAR4 = '0.483993835384221';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.12 Test, Z-Score-Based Method
0.981818181818182
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.12 Test, Z-Score-Based Method
0.108695652173913
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
0.900326205146792

Author Z-Score-Based P-Values
$VAR1 = '0.126797639459664'; $VAR2 = '0.095027635266792'; $VAR3 = '0.109016425123909'; $VAR4 = '0.110942580922866';
Good compatibility. Z-Score-Based P-Value > 0.1.
Decent indicator. 12.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.70895272770674e-05'; $VAR2 = '3.70610863961638e-05'; $VAR3 = '4.31113234502897e-08'; $VAR4 = '2.23413922423746e-99'; $VAR5 = '2.98554473877697e-20'; $VAR6 = '0.0303124217678352'; $VAR7 = '6.74167508706742e-09'; $VAR8 = '0.000144235304452496'; $VAR9 = '0.00326977367142039'; $VAR10 = '0.00436789108939282'; $VAR11 = '0.0170793955719707'; $VAR12 = '0.0478608110045121'; $VAR13 = '2.41756224043505e-05'; $VAR14 = '0.00111840829480156'; $VAR15 = '1.31640424428976e-05'; $VAR16 = '5.3888216417847e-06'; $VAR17 = '0.00304756796212218'; $VAR18 = '0.0206763449549572'; $VAR19 = '0.012817393077062'; $VAR20 = '0.0254413781551922'; $VAR21 = '0.0305843673540439'; $VAR22 = '6.06214099318236e-05'; $VAR23 = '0.00518297244733448'; $VAR24 = '0.0024331440816113'; $VAR25 = '0.118931284252088'; $VAR26 = '0.0752951515364634'; $VAR27 = '0.0690496907502024'; $VAR28 = '0.103839235263676'; $VAR29 = '0.0201908034414359'; $VAR30 = '0.0935606958388889';
testsize: 2615


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.228335093512435'; $VAR2 = '0.216450133633133'; $VAR3 = '0.298762550913721'; $VAR4 = '0.25645222194071';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.438572753798258'; $VAR3 = 25; $VAR4 = '0.561427246201742';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.18 Test, Z-Score-Based Method
0.88
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.18 Test, Z-Score-Based Method
0.021680216802168
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
0.975955758595816

Author Z-Score-Based P-Values
$VAR1 = '0.142757645371323'; $VAR2 = '0.135327035991038'; $VAR3 = '0.186789676687391'; $VAR4 = '0.160336787443959';
Good compatibility. Z-Score-Based P-Value > 0.15.
Good indicator. 6% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '1.01708238295727e-05'; $VAR2 = '1.39579226629101e-05'; $VAR3 = '5.50002763679739e-10'; $VAR4 = '1.49921127668254e-129'; $VAR5 = '2.93268770633053e-21'; $VAR6 = '0.0673448357239135'; $VAR7 = '1.06249180835261e-08'; $VAR8 = '0.00109124248349394'; $VAR9 = '0.00573836999888101'; $VAR10 = '0.0194414755400378'; $VAR11 = '0.0107789846340086'; $VAR12 = '0.0925097257397511'; $VAR13 = '5.5828461156179e-05'; $VAR14 = '0.00167068015514352'; $VAR15 = '0.000245220335070199'; $VAR16 = '1.48153455827798e-05'; $VAR17 = '0.00730530331498912'; $VAR18 = '0.0263612878800837'; $VAR19 = '0.0161924726114139'; $VAR20 = '0.0257318849958577'; $VAR21 = '0.0560787291882513'; $VAR22 = '0.000329265849428545'; $VAR23 = '0.012391625127413'; $VAR24 = '0.00318191195628805'; $VAR25 = '0.2391138366287'; $VAR26 = '0.0712139153691303'; $VAR27 = '0.0650932096233229'; $VAR28 = '0.0789650059279874'; $VAR29 = '0.015698154652789'; $VAR30 = '0.116319570577217';
"... 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 » Sat Jun 06, 2015 11:43 pm

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.
testsize: 2479


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.249875928746915'; $VAR2 = '0.213609039368446'; $VAR3 = '0.276926023287177'; $VAR4 = '0.259589008597461';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.468666325929399'; $VAR3 = 28; $VAR4 = '0.531333674070602';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0962 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0962 Test, Z-Score-Based Method
0.39386189258312
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
0.717431192660551

Author Z-Score-Based P-Values
$VAR1 = '0.0868358884153488'; $VAR2 = '0.0742325633370447'; $VAR3 = '0.0962362296282951'; $VAR4 = '0.090211339273305';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Poor indicator. 24.2% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '1.9695534248592e-06'; $VAR2 = '0.00023253655668068'; $VAR3 = '2.05734948987267e-15'; $VAR4 = '6.92900861163519e-105'; $VAR5 = '2.4274350183341e-12'; $VAR6 = '0.0449782410048017'; $VAR7 = '4.41399686519222e-07'; $VAR8 = '0.0013275578988211'; $VAR9 = '0.0100935751674004'; $VAR10 = '0.00442016084729946'; $VAR11 = '0.00916098161821224'; $VAR12 = '0.0544474808237846'; $VAR13 = '3.50801925271642e-05'; $VAR14 = '0.00258823124279091'; $VAR15 = '0.000159008839500073'; $VAR16 = '1.25825647181973e-05'; $VAR17 = '0.00191787640042458'; $VAR18 = '0.0193318425412726'; $VAR19 = '0.00133773295137648'; $VAR20 = '0.0188694239169734'; $VAR21 = '0.0274994100419442'; $VAR22 = '0.000413502926737977'; $VAR23 = '0.0109154056594582'; $VAR24 = '0.000753440411565448'; $VAR25 = '0.0867645017835983'; $VAR26 = '0.0666664241174524'; $VAR27 = '0.0339408747666033'; $VAR28 = '0.109104381172901'; $VAR29 = '0.0112208393500728'; $VAR30 = '0.0537223417017176';
testsize: 2405


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.255768759018251'; $VAR2 = '0.225852347341424'; $VAR3 = '0.247025125519969'; $VAR4 = '0.271353768120356';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.419694038237452'; $VAR3 = 26; $VAR4 = '0.580305961762548';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.12 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.12 Test, Z-Score-Based Method
0.179487179487179
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
0.847826086956522

Author Z-Score-Based P-Values
$VAR1 = '0.114979066367804'; $VAR2 = '0.101530351611241'; $VAR3 = '0.111048426753515'; $VAR4 = '0.121985198792937';
Good compatibility. Z-Score-Based P-Value > 0.1.
Poor indicator. 21.2% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '5.00090891585663e-05'; $VAR2 = '0.00121060686085246'; $VAR3 = '2.80596059474903e-09'; $VAR4 = '2.29052622881142e-13'; $VAR5 = '2.29787111233533e-05'; $VAR6 = '0.064500752471988'; $VAR7 = '0.000311852861391252'; $VAR8 = '0.00185768247265634'; $VAR9 = '0.00669406261326557'; $VAR10 = '0.0186629138324607'; $VAR11 = '0.01978856107372'; $VAR12 = '0.0397749733169549'; $VAR13 = '0.000835760791257271'; $VAR14 = '0.00512211984312051'; $VAR15 = '0.000233244329228371'; $VAR16 = '2.81250395219158e-06'; $VAR17 = '0.00361122892746751'; $VAR18 = '0.0394462305598709'; $VAR19 = '0.00521472857039634'; $VAR20 = '0.023840131647218'; $VAR21 = '0.0404544878045851'; $VAR22 = '0.000443428256909214'; $VAR23 = '0.0262924027538165'; $VAR24 = '0.0319542673061111'; $VAR25 = '0.133667957404944'; $VAR26 = '0.168667485493993'; $VAR27 = '0.110359935125721'; $VAR28 = '0.0844140416647345'; $VAR29 = '0.021466323242196'; $VAR30 = '0.141406950589852';
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

Stephan Huller
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Re: Origen -- A Basic Stylometric Study

Post by Stephan Huller » Sun Jun 07, 2015 6:51 am

I am definitely not suggesting that Clement and Origen are the same person

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Peter Kirby
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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Sun Jun 07, 2015 1:24 pm

Stephan Huller wrote:I am definitely not suggesting that Clement and Origen are the same person
Okay. Good to know.
"... 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 » Sun Jun 07, 2015 1:37 pm

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.
testsize: 4075


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.164138549058142'; $VAR2 = '0.106146414672647'; $VAR3 = '0.352575182787223'; $VAR4 = '0.377139853481989';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.573414234888031'; $VAR3 = 25; $VAR4 = '0.426585765111969';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.11 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.11 Test, Z-Score-Based Method
0.101626016260163
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
0.907749077490775

Author Z-Score-Based P-Values
$VAR1 = '0.0493981064260106'; $VAR2 = '0.0319451580315938'; $VAR3 = '0.106108811747349'; $VAR4 = '0.113501640697422';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.37675035199434e-47'; $VAR2 = '2.40366224623656e-07'; $VAR3 = '0'; $VAR4 = '6.83738797445271e-138'; $VAR5 = '3.57769530480411e-30'; $VAR6 = '0.0183607529513396'; $VAR7 = '3.80328651569913e-10'; $VAR8 = '1.80443719913019e-08'; $VAR9 = '0.00416216837378479'; $VAR10 = '0.0060741872266966'; $VAR11 = '0.000830501766815074'; $VAR12 = '0.00307556711320668'; $VAR13 = '1.22001379178651e-42'; $VAR14 = '0.0010106673463412'; $VAR15 = '1.24956240502152e-06'; $VAR16 = '1.39644532345692e-08'; $VAR17 = '2.87172025630984e-05'; $VAR18 = '0.00739956431224147'; $VAR19 = '2.52100665264152e-07'; $VAR20 = '0.00751156180221681'; $VAR21 = '0.0114930069488792'; $VAR22 = '6.57507793691063e-07'; $VAR23 = '0.0105305868759658'; $VAR24 = '0.000899527936028072'; $VAR25 = '0.084438406465141'; $VAR26 = '0.0732173269291165'; $VAR27 = '0.0611072992614644'; $VAR28 = '0.0416183066562748'; $VAR29 = '0.0047266227330412'; $VAR30 = '0.0725250309871263';
testsize: 4050


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.230253607350235'; $VAR2 = '0.128751839854677'; $VAR3 = '0.273622975096503'; $VAR4 = '0.367371577698585';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.401928328963799'; $VAR3 = 26; $VAR4 = '0.598071671036202';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0859 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0859 Test, Z-Score-Based Method
0.219512195121951
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
0.82

Author Z-Score-Based P-Values
$VAR1 = '0.0538878264463462'; $VAR2 = '0.0301326736227115'; $VAR3 = '0.0640378561857013'; $VAR4 = '0.0859784828049581';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Good indicator. 9% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '7.76309866720303e-27'; $VAR2 = '7.11120113324331e-06'; $VAR3 = '0'; $VAR4 = '1.46902224029451e-96'; $VAR5 = '1.56562472034219e-22'; $VAR6 = '0.00874613894633892'; $VAR7 = '1.10900358726089e-08'; $VAR8 = '3.26916419595402e-10'; $VAR9 = '0.00027355658785322'; $VAR10 = '0.00130492941325793'; $VAR11 = '0.00116500006015554'; $VAR12 = '0.00464183153322905'; $VAR13 = '4.61594860679003e-33'; $VAR14 = '0.000569077588154133'; $VAR15 = '1.54300333526458e-10'; $VAR16 = '1.97433426264686e-09'; $VAR17 = '2.10605107854607e-06'; $VAR18 = '0.00865633017639795'; $VAR19 = '2.21697979384146e-06'; $VAR20 = '0.000927109318869941'; $VAR21 = '0.00671145062254792'; $VAR22 = '1.44545417539516e-09'; $VAR23 = '0.00277975031585029'; $VAR24 = '0.00259968505507282'; $VAR25 = '0.0409006805823078'; $VAR26 = '0.127936478169843'; $VAR27 = '0.0382821493406805'; $VAR28 = '0.0162035305322588'; $VAR29 = '0.00346678085196246'; $VAR30 = '0.0179861275826981';
testsize: 4102


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.338541412985031'; $VAR2 = '0.236613500271441'; $VAR3 = '0.226964613440601'; $VAR4 = '0.197880473302927';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.510254910633966'; $VAR3 = 26; $VAR4 = '0.489745089366034';

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
0.0837004405286344
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
0.922764227642276

Author Z-Score-Based P-Values
$VAR1 = '0.105206717579137'; $VAR2 = '0.0735311212858002'; $VAR3 = '0.070532587951829'; $VAR4 = '0.0614942641304784';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.96150735823095e-21'; $VAR2 = '7.75733049891932e-06'; $VAR3 = '1.43964337792891e-224'; $VAR4 = '2.52967520619091e-229'; $VAR5 = '1.37882006080655e-28'; $VAR6 = '0.00335492996531198'; $VAR7 = '8.00111726356222e-10'; $VAR8 = '2.56844404649213e-15'; $VAR9 = '5.25892915688545e-06'; $VAR10 = '0.000104259919951318'; $VAR11 = '0.000148926976604945'; $VAR12 = '0.00504570358202798'; $VAR13 = '3.39878258921294e-52'; $VAR14 = '2.94278745769816e-05'; $VAR15 = '7.77873620255151e-10'; $VAR16 = '1.62398384743959e-11'; $VAR17 = '3.89470731785158e-06'; $VAR18 = '0.00467908737362117'; $VAR19 = '2.27218185427572e-06'; $VAR20 = '0.000950516070998832'; $VAR21 = '0.00531072364476082'; $VAR22 = '6.68733441592345e-07'; $VAR23 = '0.000240167621161302'; $VAR24 = '3.75557934038039e-05'; $VAR25 = '0.0809707516073461'; $VAR26 = '0.10097790776513'; $VAR27 = '0.0262888836355806'; $VAR28 = '0.0120219372669119'; $VAR29 = '0.00622075589980574'; $VAR30 = '0.041549492176822';
testsize: 4112


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.209047911003917'; $VAR2 = '0.144684667307441'; $VAR3 = '0.325259076299835'; $VAR4 = '0.321008345388807';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.603397325554831'; $VAR3 = 26; $VAR4 = '0.396602674445169';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0908 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0908 Test, Z-Score-Based Method
0.25974025974026
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
0.793814432989691

Author Z-Score-Based P-Values
$VAR1 = '0.0583857509331248'; $VAR2 = '0.0404095066470002'; $VAR3 = '0.0908427897049141'; $VAR4 = '0.0896555876177791';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Good indicator. 9% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '2.42661573580562e-20'; $VAR2 = '2.89299229708084e-06'; $VAR3 = '1.0658154451864e-289'; $VAR4 = '5.2512724972503e-176'; $VAR5 = '1.84806180541156e-27'; $VAR6 = '0.00407748929066374'; $VAR7 = '5.95030142837191e-09'; $VAR8 = '1.25738648402685e-10'; $VAR9 = '5.79158445515875e-05'; $VAR10 = '0.00159387846873008'; $VAR11 = '0.00120214277112441'; $VAR12 = '0.00433855504839533'; $VAR13 = '9.62321339511873e-53'; $VAR14 = '4.8977754769964e-05'; $VAR15 = '1.91124628920258e-09'; $VAR16 = '3.42152104108217e-09'; $VAR17 = '2.28997312180388e-06'; $VAR18 = '0.012304243957748'; $VAR19 = '1.79186175600312e-07'; $VAR20 = '0.00198929636421852'; $VAR21 = '0.00247386545613527'; $VAR22 = '1.98476497521402e-08'; $VAR23 = '0.00268394075559409'; $VAR24 = '7.83085205624682e-05'; $VAR25 = '0.0490118675401785'; $VAR26 = '0.0597094017907692'; $VAR27 = '0.0407939671756977'; $VAR28 = '0.00692793228695454'; $VAR29 = '0.00328868309458888'; $VAR30 = '0.0376133558089175';
testsize: 4013


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.206893624137432'; $VAR2 = '0.156087877445534'; $VAR3 = '0.335847198319978'; $VAR4 = '0.301171300097056';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.456830984427649'; $VAR3 = 26; $VAR4 = '0.543169015572351';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.11 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.11 Test, Z-Score-Based Method
0.133047210300429
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
0.882575757575758

Author Z-Score-Based P-Values
$VAR1 = '0.0688495952099659'; $VAR2 = '0.0519425730208544'; $VAR3 = '0.111762475780171'; $VAR4 = '0.100223108309841';
Good compatibility. Z-Score-Based P-Value > 0.1.
Good indicator. 6% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '7.07105360495999e-39'; $VAR2 = '1.72909991041052e-06'; $VAR3 = '9.32480503896494e-291'; $VAR4 = '1.54439120328709e-109'; $VAR5 = '3.92696355271555e-35'; $VAR6 = '0.00513584624987432'; $VAR7 = '6.37249374437809e-14'; $VAR8 = '7.25986878746833e-11'; $VAR9 = '2.0288867368723e-05'; $VAR10 = '0.00249628503801241'; $VAR11 = '0.00170771506622523'; $VAR12 = '0.00521901943569598'; $VAR13 = '2.45207536524405e-18'; $VAR14 = '0.000389538000215766'; $VAR15 = '8.31734560001433e-08'; $VAR16 = '1.58999344682723e-08'; $VAR17 = '6.6411905360114e-06'; $VAR18 = '0.00479248011291987'; $VAR19 = '4.60719173363167e-05'; $VAR20 = '0.00301303098815204'; $VAR21 = '0.0184570166024345'; $VAR22 = '7.07904641552189e-07'; $VAR23 = '0.00182834265538118'; $VAR24 = '6.92023152745147e-06'; $VAR25 = '0.0697578699449279'; $VAR26 = '0.132884843665981'; $VAR27 = '0.0629331832347326'; $VAR28 = '0.0847652379897034'; $VAR29 = '0.0174984631320511'; $VAR30 = '0.0522197136367921';
testsize: 4079


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.19938523858041'; $VAR2 = '0.123471732916474'; $VAR3 = '0.354517789869748'; $VAR4 = '0.322625238633368';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.629541732734828'; $VAR3 = 26; $VAR4 = '0.370458267265172';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.14 Test, Z-Score-Based Method
0.96875
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.14 Test, Z-Score-Based Method
0.0603448275862069
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
0.941361256544503

Author Z-Score-Based P-Values
$VAR1 = '0.0835951013397802'; $VAR2 = '0.0517672827699745'; $VAR3 = '0.148636633192705'; $VAR4 = '0.135265226805898';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.49340792185467e-24'; $VAR2 = '3.33319897152334e-06'; $VAR3 = '1.94384455671308e-296'; $VAR4 = '2.31680544141868e-131'; $VAR5 = '4.16667787281391e-23'; $VAR6 = '0.0148534276347339'; $VAR7 = '6.940209846692e-10'; $VAR8 = '1.93578945556058e-10'; $VAR9 = '0.000750911084052834'; $VAR10 = '0.00344429631171396'; $VAR11 = '0.0052862573030464'; $VAR12 = '0.011424154269002'; $VAR13 = '1.55093022113045e-118'; $VAR14 = '0.000409473680016726'; $VAR15 = '6.07466082444155e-09'; $VAR16 = '6.84525371969725e-10'; $VAR17 = '3.12991470485372e-06'; $VAR18 = '0.0223887792398972'; $VAR19 = '3.24516228113684e-06'; $VAR20 = '0.00876125841342917'; $VAR21 = '0.0151999278509299'; $VAR22 = '1.17493983353243e-08'; $VAR23 = '0.0164458307821408'; $VAR24 = '0.000607110720402067'; $VAR25 = '0.0747533854338834'; $VAR26 = '0.0874662738330205'; $VAR27 = '0.057204265900241'; $VAR28 = '0.0177532533298914'; $VAR29 = '0.0073989640554218'; $VAR30 = '0.0844661506586385';
testsize: 4086


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.211188399097746'; $VAR2 = '0.146950300563786'; $VAR3 = '0.309415267353792'; $VAR4 = '0.332446032984676';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.551608265209793'; $VAR3 = 30; $VAR4 = '0.448391734790207';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.882352941176471
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.0203252032520325
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
0.977483443708609

Author Z-Score-Based P-Values
$VAR1 = '0.0962582253748588'; $VAR2 = '0.0669789401832876'; $VAR3 = '0.141029358935471'; $VAR4 = '0.151526624117291';
Good compatibility. Z-Score-Based P-Value > 0.15.
Excellent indicator. 0% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '4.88036945877388e-36'; $VAR2 = '6.33218004665684e-08'; $VAR3 = '0'; $VAR4 = '9.71810455745589e-176'; $VAR5 = '2.6353131346229e-38'; $VAR6 = '0.0208979553587621'; $VAR7 = '2.20364641167779e-13'; $VAR8 = '2.25114332149033e-11'; $VAR9 = '0.00489103909197522'; $VAR10 = '0.0133700058744844'; $VAR11 = '0.00479344662641844'; $VAR12 = '0.03600270388643'; $VAR13 = '1.23269819519191e-34'; $VAR14 = '0.000403738184963422'; $VAR15 = '5.52107318267251e-07'; $VAR16 = '3.62269833519254e-08'; $VAR17 = '4.52925134082677e-05'; $VAR18 = '0.00762768463495183'; $VAR19 = '5.03046679825571e-07'; $VAR20 = '0.00593868746242765'; $VAR21 = '0.0057071394590448'; $VAR22 = '3.0383704473793e-07'; $VAR23 = '0.00238402012078411'; $VAR24 = '4.67774929240095e-05'; $VAR25 = '0.11261568709017'; $VAR26 = '0.0837791131373513'; $VAR27 = '0.0552608930773106'; $VAR28 = '0.0911195519596435'; $VAR29 = '0.00739977983507408'; $VAR30 = '0.12317307433567';
testsize: 4042


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.220816618173347'; $VAR2 = '0.157133741612839'; $VAR3 = '0.306201898547326'; $VAR4 = '0.315847741666487';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.44952277653739'; $VAR3 = 26; $VAR4 = '0.550477223462611';

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
0.130081300813008
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
0.884892086330935

Author Z-Score-Based P-Values
$VAR1 = '0.0707996117118096'; $VAR2 = '0.0503812076511352'; $VAR3 = '0.0981763768592408'; $VAR4 = '0.101269087693774';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.13067003462269e-23'; $VAR2 = '8.10482240555766e-06'; $VAR3 = '0'; $VAR4 = '7.06241828409977e-172'; $VAR5 = '9.52867293402309e-20'; $VAR6 = '0.00120176763637257'; $VAR7 = '8.20785635965482e-10'; $VAR8 = '4.57850100459502e-08'; $VAR9 = '0.0013232668798705'; $VAR10 = '0.0034098867551481'; $VAR11 = '0.000395132578570775'; $VAR12 = '0.00312468007830531'; $VAR13 = '5.03216327730903e-21'; $VAR14 = '0.000389684785724481'; $VAR15 = '1.99808384089287e-09'; $VAR16 = '8.61318408940357e-11'; $VAR17 = '1.99098333700154e-05'; $VAR18 = '0.0047219046987432'; $VAR19 = '7.3984948234206e-07'; $VAR20 = '0.0045441351712798'; $VAR21 = '0.00732456689959527'; $VAR22 = '2.12852775956476e-08'; $VAR23 = '0.00337363528182199'; $VAR24 = '0.000269745208595071'; $VAR25 = '0.0691754632911177'; $VAR26 = '0.124012239481314'; $VAR27 = '0.0536176422863123'; $VAR28 = '0.041289634348204'; $VAR29 = '0.00312015433300608'; $VAR30 = '0.0576103737135026';
testsize: 4040


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.219269783786931'; $VAR2 = '0.189913412967975'; $VAR3 = '0.259264483964293'; $VAR4 = '0.331552319280801';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.659580445130944'; $VAR3 = 26; $VAR4 = '0.340419554869056';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.18 Test, Z-Score-Based Method
0.666666666666667
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.18 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

Author Z-Score-Based P-Values
$VAR1 = '0.124517353924428'; $VAR2 = '0.10784666837866'; $VAR3 = '0.147229257731135'; $VAR4 = '0.188279555766193';
Good compatibility. Z-Score-Based P-Value > 0.15.
Excellent indicator. 0% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '4.81997939491656e-29'; $VAR2 = '1.83346235714859e-06'; $VAR3 = '2.5714987703135e-310'; $VAR4 = '8.55678087694878e-151'; $VAR5 = '3.95567017731631e-21'; $VAR6 = '0.000892568091370378'; $VAR7 = '1.79660270417314e-12'; $VAR8 = '3.96984155674602e-10'; $VAR9 = '0.000435888351009377'; $VAR10 = '0.00404592557260924'; $VAR11 = '0.00429242583790798'; $VAR12 = '0.0137561128687464'; $VAR13 = '2.24469989347882e-18'; $VAR14 = '0.001969547163574'; $VAR15 = '6.90427914794612e-08'; $VAR16 = '7.80652573680283e-10'; $VAR17 = '2.70108602374254e-05'; $VAR18 = '0.0256368650600342'; $VAR19 = '0.000103139511996266'; $VAR20 = '0.0124724254428028'; $VAR21 = '0.0278834828237608'; $VAR22 = '3.45984668398493e-07'; $VAR23 = '0.00236777655180674'; $VAR24 = '0.000611708397590565'; $VAR25 = '0.0947685292772519'; $VAR26 = '0.0971739581396276'; $VAR27 = '0.0624531309518266'; $VAR28 = '0.0400191369617882'; $VAR29 = '0.00608537984742913'; $VAR30 = '0.0838842067535318';
testsize: 4127


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.225895486753152'; $VAR2 = '0.117860378319795'; $VAR3 = '0.267230688892737'; $VAR4 = '0.389013446034317';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.470152522309419'; $VAR3 = 26; $VAR4 = '0.529847477690581';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.11 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.11 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

Author Z-Score-Based P-Values
$VAR1 = '0.0651423059294193'; $VAR2 = '0.033987827432139'; $VAR3 = '0.0770622890248483'; $VAR4 = '0.1121812271527';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '6.23866823716707e-16'; $VAR2 = '1.923424499348e-05'; $VAR3 = '0'; $VAR4 = '2.39079727040975e-176'; $VAR5 = '3.27609672318176e-36'; $VAR6 = '0.0139051396400027'; $VAR7 = '7.84297970940991e-07'; $VAR8 = '3.16806802984683e-09'; $VAR9 = '0.00076339935357965'; $VAR10 = '0.00435586331995944'; $VAR11 = '0.0015896873730307'; $VAR12 = '0.00987897295436014'; $VAR13 = '7.68420751135384e-18'; $VAR14 = '0.00125708507284558'; $VAR15 = '6.09361434043195e-10'; $VAR16 = '9.05278182291869e-09'; $VAR17 = '8.3070158418436e-07'; $VAR18 = '0.0168079879221204'; $VAR19 = '1.42195531162179e-07'; $VAR20 = '0.00261422724575169'; $VAR21 = '0.00392990368785652'; $VAR22 = '3.31488763558749e-09'; $VAR23 = '0.0010952556788175'; $VAR24 = '0.0026008331328768'; $VAR25 = '0.0635124590467623'; $VAR26 = '0.126424803506582'; $VAR27 = '0.0429714788996796'; $VAR28 = '0.0279093883838466'; $VAR29 = '0.00936662877224153'; $VAR30 = '0.0518217673761619';
testsize: 3981


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.218916749094804'; $VAR2 = '0.192935114156569'; $VAR3 = '0.295324317807339'; $VAR4 = '0.292823818941288';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.577506705963509'; $VAR3 = 26; $VAR4 = '0.422493294036491';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.90625
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.0127118644067797
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
0.986167146974063

Author Z-Score-Based P-Values
$VAR1 = '0.114944128063088'; $VAR2 = '0.101302246452944'; $VAR3 = '0.155062581307975'; $VAR4 = '0.153749672802484';
Good compatibility. Z-Score-Based P-Value > 0.15.
Great indicator. 3% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '2.61382411315732e-22'; $VAR2 = '1.79293262332032e-06'; $VAR3 = '2.19422673756264e-229'; $VAR4 = '1.60814860570677e-121'; $VAR5 = '1.18541003596506e-32'; $VAR6 = '0.0271935451385684'; $VAR7 = '6.77609671725867e-10'; $VAR8 = '1.33779310916892e-10'; $VAR9 = '8.1472448018733e-05'; $VAR10 = '0.00288238215902168'; $VAR11 = '0.0150227416436861'; $VAR12 = '0.0252921965514178'; $VAR13 = '3.43166907913642e-15'; $VAR14 = '0.00172777885892083'; $VAR15 = '1.72978445078009e-06'; $VAR16 = '9.91708993448792e-08'; $VAR17 = '6.53377001883492e-05'; $VAR18 = '0.0218862461906746'; $VAR19 = '0.0001311896706802'; $VAR20 = '0.0138963199961586'; $VAR21 = '0.0450194815890225'; $VAR22 = '1.22666199577012e-05'; $VAR23 = '0.00634291358469993'; $VAR24 = '6.32703692592093e-05'; $VAR25 = '0.0862149834519425'; $VAR26 = '0.113440935113137'; $VAR27 = '0.0243025828953001'; $VAR28 = '0.0782033039542826'; $VAR29 = '0.0208355491168249'; $VAR30 = '0.107670135564651';
testsize: 4094


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.229761496355814'; $VAR2 = '0.191305362974394'; $VAR3 = '0.290670513792964'; $VAR4 = '0.288262626876827';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.538270847242234'; $VAR3 = 25; $VAR4 = '0.461729152757766';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.967741935483871
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.0173160173160173
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
0.982421321236178

Author Z-Score-Based P-Values
$VAR1 = '0.122104557393864'; $VAR2 = '0.101667411831643'; $VAR3 = '0.154474074190277'; $VAR4 = '0.153194425638136';
Good compatibility. Z-Score-Based P-Value > 0.15.
Great indicator. 3% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '9.49051084816654e-45'; $VAR2 = '1.66861644275278e-06'; $VAR3 = '1.5655756742486e-308'; $VAR4 = '6.18615190755205e-215'; $VAR5 = '1.84828184457896e-57'; $VAR6 = '0.00930446767495294'; $VAR7 = '5.52436303098985e-09'; $VAR8 = '2.73182578404054e-09'; $VAR9 = '9.43565353698338e-05'; $VAR10 = '0.00220971925383817'; $VAR11 = '0.000750469736995284'; $VAR12 = '0.0162318156537042'; $VAR13 = '5.78927518848575e-52'; $VAR14 = '0.000668710405546152'; $VAR15 = '4.14261549995903e-07'; $VAR16 = '7.62326598093296e-10'; $VAR17 = '5.51232733386966e-05'; $VAR18 = '0.0104912869693009'; $VAR19 = '1.44646011938187e-05'; $VAR20 = '0.00628252131512035'; $VAR21 = '0.0118456567101449'; $VAR22 = '1.77628464293356e-05'; $VAR23 = '0.00064930236103517'; $VAR24 = '0.000420385606048525'; $VAR25 = '0.132507981370982'; $VAR26 = '0.0951372505955268'; $VAR27 = '0.073247765098164'; $VAR28 = '0.0226903938237733'; $VAR29 = '0.00915612419081089'; $VAR30 = '0.089910118443077';
testsize: 3980


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.176623859754723'; $VAR2 = '0.110648461821037'; $VAR3 = '0.372552306412599'; $VAR4 = '0.340175372011641';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 3; $VAR2 = '0.495852598919597'; $VAR3 = 26; $VAR4 = '0.504147401080403';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.11 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.11 Test, Z-Score-Based Method
0.144067796610169
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
0.874074074074074

Author Z-Score-Based P-Values
$VAR1 = '0.0535843616271913'; $VAR2 = '0.0335686650713248'; $VAR3 = '0.113025372334063'; $VAR4 = '0.103202818553787';
Good compatibility. Z-Score-Based P-Value > 0.1.
Good indicator. 6% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '6.98756903936619e-24'; $VAR2 = '5.95653153901058e-07'; $VAR3 = '0'; $VAR4 = '1.31617653478288e-206'; $VAR5 = '1.52145815089664e-30'; $VAR6 = '0.00891049318531453'; $VAR7 = '1.75921765961533e-10'; $VAR8 = '7.27936201002783e-09'; $VAR9 = '0.000313498521279501'; $VAR10 = '0.00190263738481402'; $VAR11 = '0.00612773800463205'; $VAR12 = '0.007279572276468'; $VAR13 = '2.79713120503889e-25'; $VAR14 = '0.00126694832479278'; $VAR15 = '5.09172680632686e-09'; $VAR16 = '4.60551242772036e-08'; $VAR17 = '3.12496891274915e-06'; $VAR18 = '0.00961856995322818'; $VAR19 = '9.76687815880789e-05'; $VAR20 = '0.00902201060322761'; $VAR21 = '0.0437843773165506'; $VAR22 = '2.00920038726597e-07'; $VAR23 = '0.0206154316982044'; $VAR24 = '3.67693706945007e-05'; $VAR25 = '0.0493260539430667'; $VAR26 = '0.114916101765965'; $VAR27 = '0.036228957742981'; $VAR28 = '0.0567823383618306'; $VAR29 = '0.00490609281243339'; $VAR30 = '0.046410494021338';
testsize: 4082


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.181201514820637'; $VAR2 = '0.101146717862646'; $VAR3 = '0.298306045627893'; $VAR4 = '0.419345721688825';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.548399180803602'; $VAR3 = 26; $VAR4 = '0.451600819196398';

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
0.170731707317073
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
0.854166666666667

Author Z-Score-Based P-Values
$VAR1 = '0.0451545457820098'; $VAR2 = '0.0252052755019723'; $VAR3 = '0.0743364315010732'; $VAR4 = '0.104498936486437';
Good compatibility. Z-Score-Based P-Value > 0.1.
Excellent indicator. 0% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.8484515053255e-25'; $VAR2 = '2.93552896318539e-06'; $VAR3 = '3.4052929525971e-298'; $VAR4 = '7.59701618904102e-216'; $VAR5 = '1.07151817096613e-40'; $VAR6 = '0.000409585284643271'; $VAR7 = '1.28379346922693e-14'; $VAR8 = '5.68380754091244e-20'; $VAR9 = '0.000222877309163717'; $VAR10 = '0.000764931756642317'; $VAR11 = '0.000384665264352783'; $VAR12 = '0.00258227634564994'; $VAR13 = '5.55820208133646e-166'; $VAR14 = '0.00103179489899471'; $VAR15 = '3.54153360349176e-10'; $VAR16 = '6.49114210209042e-07'; $VAR17 = '9.48229618696991e-07'; $VAR18 = '0.00923799481678313'; $VAR19 = '2.1499186232045e-06'; $VAR20 = '0.00212852143494089'; $VAR21 = '0.00329944708358546'; $VAR22 = '1.44069985436138e-09'; $VAR23 = '0.00166812731103836'; $VAR24 = '3.32345138407255e-05'; $VAR25 = '0.0757819698340079'; $VAR26 = '0.0860537487551942'; $VAR27 = '0.0350708656120115'; $VAR28 = '0.0462810154803811'; $VAR29 = '0.00184777731411218'; $VAR30 = '0.0493036245799453';
testsize: 4162


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.278849232333423'; $VAR2 = '0.204378799063432'; $VAR3 = '0.263717049997764'; $VAR4 = '0.25305491860538';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.528203369042566'; $VAR3 = 25; $VAR4 = '0.471796630957434';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0855 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0855 Test, Z-Score-Based Method
0.106194690265487
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
0.904

Author Z-Score-Based P-Values
$VAR1 = '0.0855241435970402'; $VAR2 = '0.0626837722055888'; $VAR3 = '0.0808830444475756'; $VAR4 = '0.0776129272999607';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Decent indicator. 15.1% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '2.90262734927748e-34'; $VAR2 = '2.49253620250442e-07'; $VAR3 = '3.8215962329378e-263'; $VAR4 = '4.29814373340135e-259'; $VAR5 = '2.00608462159603e-45'; $VAR6 = '0.00290169458891736'; $VAR7 = '5.07154348901407e-15'; $VAR8 = '1.50945280816954e-21'; $VAR9 = '0.000197397379796067'; $VAR10 = '0.000302160668579034'; $VAR11 = '0.000922897373754186'; $VAR12 = '0.00348606145897616'; $VAR13 = '7.17085746983647e-78'; $VAR14 = '1.0702047088157e-05'; $VAR15 = '2.12637993166088e-06'; $VAR16 = '1.649129877328e-10'; $VAR17 = '6.86497165805001e-05'; $VAR18 = '0.00456435134578401'; $VAR19 = '3.5226164829144e-06'; $VAR20 = '0.00176052751716715'; $VAR21 = '0.00910239792792833'; $VAR22 = '3.09524609376567e-05'; $VAR23 = '0.000418598301118292'; $VAR24 = '1.85168612644184e-05'; $VAR25 = '0.0763910364444337'; $VAR26 = '0.0307376909365681'; $VAR27 = '0.0362728281643825'; $VAR28 = '0.0350443799435044'; $VAR29 = '0.00334123908842596'; $VAR30 = '0.0628427881733455';
testsize: 4090


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.342479650825764'; $VAR2 = '0.196920544251199'; $VAR3 = '0.192976645870417'; $VAR4 = '0.267623159052621';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.483662572404327'; $VAR3 = 25; $VAR4 = '0.516337427595673';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0638 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0638 Test, Z-Score-Based Method
0.18859649122807
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
0.841328413284133

Author Z-Score-Based P-Values
$VAR1 = '0.0638711455873845'; $VAR2 = '0.0367249286802565'; $VAR3 = '0.0359894067096711'; $VAR4 = '0.0499106960462943';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Great indicator. 3% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '1.9146855340037e-47'; $VAR2 = '2.27846277175836e-08'; $VAR3 = '0'; $VAR4 = '3.22479311317523e-226'; $VAR5 = '4.68454447617984e-38'; $VAR6 = '0.00355277933946792'; $VAR7 = '1.0445117108192e-11'; $VAR8 = '1.60141608305485e-12'; $VAR9 = '0.000320390223406588'; $VAR10 = '0.00139380782830949'; $VAR11 = '0.00130603145784181'; $VAR12 = '0.00232103131499077'; $VAR13 = '4.55650819268707e-40'; $VAR14 = '0.000209553282089483'; $VAR15 = '7.13997180308666e-08'; $VAR16 = '7.29251692857744e-09'; $VAR17 = '4.28112502229143e-06'; $VAR18 = '0.0068437290213452'; $VAR19 = '1.70265701594496e-08'; $VAR20 = '0.000290390569796856'; $VAR21 = '0.00170819974159087'; $VAR22 = '1.83646243499734e-07'; $VAR23 = '0.000761343838372799'; $VAR24 = '3.91329832259647e-05'; $VAR25 = '0.0681860968613658'; $VAR26 = '0.032287340035946'; $VAR27 = '0.0161086882878334'; $VAR28 = '0.00883989286125538'; $VAR29 = '0.00161684440552321'; $VAR30 = '0.0361817948389187';
testsize: 4093


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.304715202166244'; $VAR2 = '0.239929585287539'; $VAR3 = '0.228319662005336'; $VAR4 = '0.227035550540881';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.492162751653833'; $VAR3 = 25; $VAR4 = '0.507837248346167';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0956 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0956 Test, Z-Score-Based Method
0.0881057268722467
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
0.919028340080972

Author Z-Score-Based P-Values
$VAR1 = '0.0956049418799568'; $VAR2 = '0.0752783382437963'; $VAR3 = '0.0716357039651816'; $VAR4 = '0.0712328116872323';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Decent indicator. 18.1% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '3.4559436761704e-36'; $VAR2 = '9.31829363779354e-06'; $VAR3 = '1.00443650437012e-266'; $VAR4 = '1.64267255498124e-217'; $VAR5 = '2.64413093876869e-40'; $VAR6 = '0.00940596076172365'; $VAR7 = '4.94186822094492e-11'; $VAR8 = '3.70977903830422e-15'; $VAR9 = '1.24696337795542e-05'; $VAR10 = '0.000205171610913514'; $VAR11 = '0.000281905413991457'; $VAR12 = '0.00798298668545742'; $VAR13 = '3.11932903211143e-48'; $VAR14 = '4.99426276726596e-05'; $VAR15 = '1.46428241058758e-08'; $VAR16 = '7.76222045841252e-10'; $VAR17 = '9.41406975645122e-07'; $VAR18 = '0.00803909676858899'; $VAR19 = '6.13894750444369e-06'; $VAR20 = '0.00146424370988764'; $VAR21 = '0.00547174179443842'; $VAR22 = '4.72710405515988e-07'; $VAR23 = '0.00049417358524993'; $VAR24 = '4.03333543373545e-06'; $VAR25 = '0.0986497869850211'; $VAR26 = '0.0921203418491508'; $VAR27 = '0.00987986323768746'; $VAR28 = '0.0183561351176156'; $VAR29 = '0.0081308948348151'; $VAR30 = '0.0616934553106341';
testsize: 4055


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.278402501594514'; $VAR2 = '0.227192076978271'; $VAR3 = '0.214227563460911'; $VAR4 = '0.280177857966304';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.484743325397262'; $VAR3 = 25; $VAR4 = '0.515256674602738';

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
0.138211382113821
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
0.878571428571429

Author Z-Score-Based P-Values
$VAR1 = '0.104840408736041'; $VAR2 = '0.0855556615891464'; $VAR3 = '0.0806735039632656'; $VAR4 = '0.105508969853863';
Good compatibility. Z-Score-Based P-Value > 0.1.
Good indicator. 6% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.02025328410862e-52'; $VAR2 = '8.95731273250742e-07'; $VAR3 = '4.49110628057511e-236'; $VAR4 = '8.90637689286765e-200'; $VAR5 = '4.0488151062159e-34'; $VAR6 = '0.00705295941071884'; $VAR7 = '4.23719514854063e-15'; $VAR8 = '5.53712951264638e-12'; $VAR9 = '0.000698302566621261'; $VAR10 = '0.00106977972794943'; $VAR11 = '0.00257838877830575'; $VAR12 = '0.022407691851893'; $VAR13 = '1.45109203990379e-41'; $VAR14 = '8.09179869716639e-05'; $VAR15 = '8.50547991612378e-08'; $VAR16 = '1.65704377657623e-08'; $VAR17 = '2.36822017865926e-05'; $VAR18 = '0.0104437428393446'; $VAR19 = '3.20501086804226e-05'; $VAR20 = '0.010394583720715'; $VAR21 = '0.00744775660051021'; $VAR22 = '2.05842903741271e-06'; $VAR23 = '0.000966934904819449'; $VAR24 = '1.12164802025064e-05'; $VAR25 = '0.112150488927535'; $VAR26 = '0.0726794154201174'; $VAR27 = '0.0468071555817525'; $VAR28 = '0.0735409139881634'; $VAR29 = '0.0156160067398902'; $VAR30 = '0.0559762289396652';
testsize: 4064


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.215368492951616'; $VAR2 = '0.155985157517272'; $VAR3 = '0.302550379338774'; $VAR4 = '0.326095970192337';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.497749004568815'; $VAR3 = 26; $VAR4 = '0.502250995431185';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0898 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0898 Test, Z-Score-Based Method
0.203252032520325
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
0.831081081081081

Author Z-Score-Based P-Values
$VAR1 = '0.0593453382997782'; $VAR2 = '0.0429821085514415'; $VAR3 = '0.0833685297627055'; $VAR4 = '0.0898565774595744';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Decent indicator. 15.1% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '4.51847187730023e-40'; $VAR2 = '4.07952894429215e-06'; $VAR3 = '0'; $VAR4 = '2.36874245221985e-214'; $VAR5 = '1.04514153267556e-27'; $VAR6 = '0.0110237561755125'; $VAR7 = '1.50780245862913e-09'; $VAR8 = '5.95449859826903e-12'; $VAR9 = '0.000327530129025594'; $VAR10 = '0.00186618914524311'; $VAR11 = '0.000989640424901358'; $VAR12 = '0.0117643044287239'; $VAR13 = '1.09468868233963e-36'; $VAR14 = '0.00104881998461522'; $VAR15 = '6.64313168956377e-08'; $VAR16 = '1.25765865541698e-06'; $VAR17 = '9.33610554662747e-05'; $VAR18 = '0.00876572354044369'; $VAR19 = '3.04111791036942e-06'; $VAR20 = '0.00309566445928688'; $VAR21 = '0.00316549687298572'; $VAR22 = '4.28459529988801e-07'; $VAR23 = '0.00160320797947249'; $VAR24 = '0.000253635770950989'; $VAR25 = '0.0662528258291518'; $VAR26 = '0.0906693033252892'; $VAR27 = '0.0251693587422485'; $VAR28 = '0.020082866983076'; $VAR29 = '0.00404271220002397'; $VAR30 = '0.0707285629141292';
testsize: 4063


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.186445669238384'; $VAR2 = '0.123382346900102'; $VAR3 = '0.311771377715924'; $VAR4 = '0.378400606145589';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 4; $VAR2 = '0.513597682227555'; $VAR3 = 26; $VAR4 = '0.486402317772445';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.11 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.11 Test, Z-Score-Based Method
0.0894308943089431
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
0.917910447761194

Author Z-Score-Based P-Values
$VAR1 = '0.05504053912146'; $VAR2 = '0.0364236451251103'; $VAR3 = '0.0920378831121275'; $VAR4 = '0.111707466583797';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '3.79302529800741e-27'; $VAR2 = '1.67726680419031e-05'; $VAR3 = '1.5649928019826e-312'; $VAR4 = '5.68271600130101e-175'; $VAR5 = '5.10020491849314e-26'; $VAR6 = '0.00481218685281296'; $VAR7 = '4.89979831180808e-09'; $VAR8 = '2.87852685905544e-09'; $VAR9 = '0.000251714956779688'; $VAR10 = '0.0011894196648773'; $VAR11 = '0.000853652438983274'; $VAR12 = '0.00276779512899149'; $VAR13 = '2.61551518968832e-124'; $VAR14 = '0.00185804011602493'; $VAR15 = '7.08877143884777e-07'; $VAR16 = '3.2930624640135e-07'; $VAR17 = '9.08606146792089e-05'; $VAR18 = '0.00691226484393877'; $VAR19 = '5.79076742528697e-06'; $VAR20 = '0.000842230416280494'; $VAR21 = '0.0108159691243586'; $VAR22 = '9.03020024539155e-06'; $VAR23 = '0.00395976202108533'; $VAR24 = '0.00099973212639602'; $VAR25 = '0.0560377175823122'; $VAR26 = '0.105792476366303'; $VAR27 = '0.0440588257969861'; $VAR28 = '0.0257432006894087'; $VAR29 = '0.00905720576713178'; $VAR30 = '0.0410295858946275';
"... 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 » Sun Jun 07, 2015 2:37 pm

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.
testsize: 5070


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.344844674729207'; $VAR2 = '0.276676537815863'; $VAR3 = '0.185283870127012'; $VAR4 = '0.193194917327918';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.654550938819453'; $VAR3 = 30; $VAR4 = '0.345449061180547';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.928571428571429
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.0718232044198895
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
0.928205128205128

Author Z-Score-Based P-Values
$VAR1 = '0.164226120291322'; $VAR2 = '0.131762262000464'; $VAR3 = '0.0882381355241014'; $VAR4 = '0.0920056305282404';
Good compatibility. Z-Score-Based P-Value > 0.15.
Excellent indicator. 0% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '6.78790739548987e-46'; $VAR2 = '7.32472939534867e-11'; $VAR3 = '0'; $VAR4 = '1.00000000000001e-99'; $VAR5 = '0'; $VAR6 = '4.43776430978847e-07'; $VAR7 = '5.37706094927035e-16'; $VAR8 = '5.08813818082e-24'; $VAR9 = '3.99016982072271e-06'; $VAR10 = '1.73018915635215e-05'; $VAR11 = '0.00129210199146682'; $VAR12 = '0.0150906701424299'; $VAR13 = '8.42397520701176e-43'; $VAR14 = '2.89112419436416e-06'; $VAR15 = '5.59085709702192e-17'; $VAR16 = '3.78086783514703e-17'; $VAR17 = '1.48268473063549e-05'; $VAR18 = '0.00505048730444688'; $VAR19 = '8.42156216650011e-09'; $VAR20 = '1.16713286341966e-05'; $VAR21 = '0.00325672921669741'; $VAR22 = '1.73215966240797e-07'; $VAR23 = '0.000213201610116712'; $VAR24 = '3.45860436411291e-11'; $VAR25 = '0.0861154968826517'; $VAR26 = '0.0132845280432943'; $VAR27 = '0.0100866581781756'; $VAR28 = '0.00543284004637449'; $VAR29 = '0.0020020825564737'; $VAR30 = '0.0866727946006494';


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' ];

$VAR1 = 336; $VAR2 = 240; $VAR3 = 118; $VAR4 = 365; $VAR5 = 105; $VAR6 = 60; $VAR7 = 10; $VAR8 = 10; $VAR9 = 3; $VAR10 = 121; $VAR11 = 32; $VAR12 = 274; $VAR13 = 9; $VAR14 = 17; $VAR15 = 106; $VAR16 = 45; $VAR17 = 23; $VAR18 = 35; $VAR19 = 39; $VAR20 = 54; $VAR21 = 42; $VAR22 = 49; $VAR23 = 36; $VAR24 = 11; $VAR25 = 40; $VAR26 = 9; $VAR27 = 20; $VAR28 = 3; $VAR29 = 28; $VAR30 = 20; $VAR31 = 32; $VAR32 = 17; $VAR33 = 30;
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Sun Jun 07, 2015 2:40 pm

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.
testsize: 1319


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.254194529249244'; $VAR2 = '0.250555827166043'; $VAR3 = '0.249150590215973'; $VAR4 = '0.24609905336874';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.501630705036877'; $VAR3 = 12; $VAR4 = '0.498369294963123';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.22 Test, Z-Score-Based Method
0.495412844036697
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.22 Test, Z-Score-Based Method
0.0349932705248991
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
0.934025514479933

Author Z-Score-Based P-Values
$VAR1 = '0.22180624768079'; $VAR2 = '0.218631172049199'; $VAR3 = '0.217404983838469'; $VAR4 = '0.214742259586521';

Control Z-Score-Based P-Values
$VAR1 = '0.00349923865547081'; $VAR2 = '0.0093127442683432'; $VAR3 = '0.0151177773244367'; $VAR4 = '0.0252911730212084'; $VAR5 = '8.29433183180441e-07'; $VAR6 = '0.0859651703243763'; $VAR7 = '0.00026829409448985'; $VAR8 = '0.0227265765736288'; $VAR9 = '0.0364301449523667'; $VAR10 = '0.0538913481293606'; $VAR11 = '0.0735352446896861'; $VAR12 = '0.220364148695732'; $VAR13 = '0.0243568330758136'; $VAR14 = '0.015638998696945'; $VAR15 = '0.00492727289439308'; $VAR16 = '0.00257990622061124'; $VAR17 = '0.0348416687996107'; $VAR18 = '0.0806761178613079'; $VAR19 = '0.0747007539336354'; $VAR20 = '0.126168807392125'; $VAR21 = '0.127659411944355'; $VAR22 = '0.0131555013349568'; $VAR23 = '0.0587467702675036'; $VAR24 = '0.0210028575262906'; $VAR25 = '0.181497351834849'; $VAR26 = '0.10277633323606'; $VAR27 = '0.184035499250014'; $VAR28 = '0.173033743973504'; $VAR29 = '0.0858789679589447'; $VAR30 = '0.202357505053961';


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' ];

$VAR1 = 107; $VAR2 = 81; $VAR3 = 22; $VAR4 = 100; $VAR5 = 27; $VAR6 = 17; $VAR7 = 0; $VAR8 = 3; $VAR9 = 2; $VAR10 = 30; $VAR11 = 6; $VAR12 = 64; $VAR13 = 0; $VAR14 = 0; $VAR15 = 35; $VAR16 = 9; $VAR17 = 2; $VAR18 = 11; $VAR19 = 8; $VAR20 = 10; $VAR21 = 8; $VAR22 = 10; $VAR23 = 9; $VAR24 = 5; $VAR25 = 9; $VAR26 = 3; $VAR27 = 5; $VAR28 = 1; $VAR29 = 6; $VAR30 = 5; $VAR31 = 10; $VAR32 = 6; $VAR33 = 12;
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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