Origen -- A Basic Stylometric Study

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Peter Kirby
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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Fri Jun 05, 2015 10:14 am

The compilation known as the 'Philocalia' was broken into 17 samples, each approximately 3500 words in length. The same list of 33 words was used. The author of the 'Contra Celsum' was considered the 'Origen' author candidate. Between Origen and Eusebius, Origen was selected as the better author candidate 16 of 17 times (94% accuracy). When 31 controls are added as candidates, Origen was selected as the best candidate, out of 33 total candidates, 15 out of 17 times (88% accuracy). The ultimate author of the Philocalia, said to be compiled by Basil of Caesarea and Gregory of Nazianzus as excerpts from the Alexandrian church father's works, clearly seems to be Origen.
testsize: 3568
$VAR1 = 173; $VAR2 = 233; $VAR3 = 107; $VAR4 = 178; $VAR5 = 71; $VAR6 = 39; $VAR7 = 1; $VAR8 = 6; $VAR9 = 0; $VAR10 = 67; $VAR11 = 15; $VAR12 = 195; $VAR13 = 12; $VAR14 = 0; $VAR15 = 61; $VAR16 = 26; $VAR17 = 12; $VAR18 = 16; $VAR19 = 19; $VAR20 = 29; $VAR21 = 21; $VAR22 = 25; $VAR23 = 32; $VAR24 = 30; $VAR25 = 25; $VAR26 = 19; $VAR27 = 3; $VAR28 = 5; $VAR29 = 17; $VAR30 = 3; $VAR31 = 36; $VAR32 = 5; $VAR33 = 12;

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

Author Z-Score-Based P-Values
$VAR1 = '0.0853730715026237'; $VAR2 = '0.0532831157768075';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Decent indicator. 12.5% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '1.23294022960262e-08'; $VAR2 = '2.45050772763707e-08'; $VAR3 = '0'; $VAR4 = '5.06939958637069e-159'; $VAR5 = '3.80973661898647e-160'; $VAR6 = '0.0163923663847412'; $VAR7 = '2.22927790760571e-07'; $VAR8 = '1.32229807995728e-05'; $VAR9 = '0.00431550494050398'; $VAR10 = '0.00587293128818481'; $VAR11 = '0.00853148404904435'; $VAR12 = '0.0239088003891195'; $VAR13 = '5.9303583896591e-12'; $VAR14 = '0.0014124917275653'; $VAR15 = '6.62409438553349e-07'; $VAR16 = '1.78451091161925e-06'; $VAR17 = '0.00150157899062906'; $VAR18 = '0.00376829858469467'; $VAR19 = '1.15196159445454e-05'; $VAR20 = '0.000676308932925281'; $VAR21 = '0.00603993654342315'; $VAR22 = '1.25400240799054e-05'; $VAR23 = '0.00873836782493828'; $VAR24 = '0.0010097224761826'; $VAR25 = '0.0401824469248126'; $VAR26 = '0.0745208408828822'; $VAR27 = '0.0462440847208371'; $VAR28 = '0.0314495656295459'; $VAR29 = '0.00273744548617799'; $VAR30 = '0.0751213911475681'; $VAR31 = '0.0630769084467953';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.615717720050768'; $VAR2 = '0.384282279949232';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.531937800799395'; $VAR3 = 30; $VAR4 = '0.468062199200605';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0853 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0853 Test, Z-Score-Based Method
0.151376146788991
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
0.868525896414343

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0853 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0853 Test, Z-Score-Based Method
0.333333333333333
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.75
testsize: 3611

Author Z-Score-Based P-Values
$VAR1 = '0.144530677518628'; $VAR2 = '0.116503449350913';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '8.42555885490359e-09'; $VAR2 = '5.2307979240145e-10'; $VAR3 = '0'; $VAR4 = '5.72707315190158e-264'; $VAR5 = '1.1411514057886e-56'; $VAR6 = '0.0201014496490916'; $VAR7 = '4.08573158282704e-09'; $VAR8 = '1.15155140711418e-09'; $VAR9 = '0.00059703217813598'; $VAR10 = '0.00104585519597305'; $VAR11 = '0.00455489105704337'; $VAR12 = '0.0495729864058701'; $VAR13 = '8.46374188255244e-20'; $VAR14 = '0.00102544786751549'; $VAR15 = '1.86441633870928e-08'; $VAR16 = '6.48678303513831e-05'; $VAR17 = '0.00132865090807757'; $VAR18 = '0.00386814816676052'; $VAR19 = '3.20702227889512e-05'; $VAR20 = '0.000486748571033393'; $VAR21 = '0.0081415406575864'; $VAR22 = '6.74074495987009e-06'; $VAR23 = '0.00866122388556503'; $VAR24 = '0.00018317914383109'; $VAR25 = '0.0222807435379022'; $VAR26 = '0.0351095456323932'; $VAR27 = '0.0214438103129781'; $VAR28 = '0.0184544798676477'; $VAR29 = '0.000434333933285397'; $VAR30 = '0.0548513389150897'; $VAR31 = '0.0714128134165426';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.553684988441611'; $VAR2 = '0.446315011558389';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.669298606282225'; $VAR3 = 31; $VAR4 = '0.330701393717775';

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
0.115740740740741
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
0.896265560165975

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

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.111111111111111
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.9
testsize: 3639

Author Z-Score-Based P-Values
$VAR1 = '0.129395317920585'; $VAR2 = '0.099898080507727';
Good compatibility. Z-Score-Based P-Value > 0.10.
Excellent indicator. 0% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.04113018583157e-07'; $VAR2 = '4.69777440154346e-08'; $VAR3 = '0'; $VAR4 = '2.60291839451446e-193'; $VAR5 = '4.48638914161302e-42'; $VAR6 = '0.0298315006320005'; $VAR7 = '3.2663798932986e-08'; $VAR8 = '4.97462162651911e-07'; $VAR9 = '0.00149564207331571'; $VAR10 = '0.00460715148139792'; $VAR11 = '0.00961736978309971'; $VAR12 = '0.0385329441882738'; $VAR13 = '2.97250260515331e-08'; $VAR14 = '0.000554141327346803'; $VAR15 = '2.70811765810788e-08'; $VAR16 = '1.58953776830074e-06'; $VAR17 = '0.000710843598418125'; $VAR18 = '0.00824778675189451'; $VAR19 = '3.59058583406943e-06'; $VAR20 = '0.00135237309915027'; $VAR21 = '0.012840187785062'; $VAR22 = '6.08899245150901e-06'; $VAR23 = '0.0124840784198729'; $VAR24 = '0.00032652090677475'; $VAR25 = '0.0535750592276485'; $VAR26 = '0.0704910339941873'; $VAR27 = '0.0218292148060546'; $VAR28 = '0.0318555592428213'; $VAR29 = '0.00178214529448916'; $VAR30 = '0.089409281954369'; $VAR31 = '0.0875635074071989';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.564322038085366'; $VAR2 = '0.435677961914634';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.591373846777142'; $VAR3 = 30; $VAR4 = '0.408626153222858';

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
0.106976744186047
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
0.903361344537815

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

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.111111111111111
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.9
testsize: 3825

Author Z-Score-Based P-Values
$VAR1 = '0.105583377669765'; $VAR2 = '0.090259171263437';
Good compatibility. Z-Score-Based P-Value > 0.10.
Good indicator. 6.2% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '4.04604736032284e-69'; $VAR2 = '1.23520488698735e-05'; $VAR3 = '1.01584382564267e-304'; $VAR4 = '1.48545621307551e-242'; $VAR5 = '1.09106776547846e-35'; $VAR6 = '0.0140856335840192'; $VAR7 = '2.352861631185e-11'; $VAR8 = '2.67437838421093e-07'; $VAR9 = '1.30916615933703e-05'; $VAR10 = '0.000955197888903249'; $VAR11 = '0.00129228005963233'; $VAR12 = '0.03048542944962'; $VAR13 = '2.20783011632025e-16'; $VAR14 = '2.78814813135906e-05'; $VAR15 = '8.8581580509511e-10'; $VAR16 = '2.43721975493868e-11'; $VAR17 = '7.51319987265771e-05'; $VAR18 = '0.0167835445863478'; $VAR19 = '0.000499234666806769'; $VAR20 = '0.00398738482383448'; $VAR21 = '0.0183113238479215'; $VAR22 = '2.84411155416829e-08'; $VAR23 = '0.00146259349026334'; $VAR24 = '6.55807859296611e-05'; $VAR25 = '0.0689054603843931'; $VAR26 = '0.0818467585441971'; $VAR27 = '0.0244935480911548'; $VAR28 = '0.0336552425096841'; $VAR29 = '0.000482860793318226'; $VAR30 = '0.108186368538046'; $VAR31 = '0.134768676692985';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.539123792275484'; $VAR2 = '0.460876207724516';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.439286354134564'; $VAR3 = 31; $VAR4 = '0.560713645865436';

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
0.135
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
0.881057268722467

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

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.111111111111111
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.9
testsize: 3626

Author Z-Score-Based P-Values
$VAR1 = '0.134068912216078'; $VAR2 = '0.102787487244309';
Good compatibility. Z-Score-Based P-Value > 0.10.
Good indicator. 6.2% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '8.75340118736514e-07'; $VAR2 = '3.47433069590382e-07'; $VAR3 = '0'; $VAR4 = '1.77982768061097e-262'; $VAR5 = '4.06765005576169e-35'; $VAR6 = '0.0113458662129509'; $VAR7 = '2.82088438437786e-07'; $VAR8 = '1.03775682837999e-05'; $VAR9 = '0.00154691660978461'; $VAR10 = '0.00278342096255688'; $VAR11 = '0.0142972701695106'; $VAR12 = '0.0328588976656163'; $VAR13 = '2.94370050757177e-10'; $VAR14 = '0.00187426297593169'; $VAR15 = '4.93307038809862e-09'; $VAR16 = '7.94722167070591e-08'; $VAR17 = '0.000395089601302576'; $VAR18 = '0.0197432145740785'; $VAR19 = '3.69939065672261e-05'; $VAR20 = '0.000794047986174398'; $VAR21 = '0.0307552910653602'; $VAR22 = '5.60772207088877e-06'; $VAR23 = '0.015330905780379'; $VAR24 = '0.00367368868129798'; $VAR25 = '0.0681614503552804'; $VAR26 = '0.0720392922861965'; $VAR27 = '0.058240721829187'; $VAR28 = '0.0709389790600956'; $VAR29 = '0.00472892011860038'; $VAR30 = '0.116846729268422'; $VAR31 = '0.065102685078864';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.566034578426075'; $VAR2 = '0.433965421573925';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.534318671498046'; $VAR3 = 30; $VAR4 = '0.465681328501954';

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
0.106481481481481
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
0.903765690376569

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

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.111111111111111
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.9
testsize: 3575

Author Z-Score-Based P-Values
$VAR1 = '0.121088850797376'; $VAR2 = '0.103318498148133';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '7.13750826632573e-13'; $VAR2 = '3.80173687167984e-10'; $VAR3 = '1.87072377772638e-307'; $VAR4 = '1.56952541153965e-234'; $VAR5 = '4.80716221402982e-122'; $VAR6 = '0.00579028603180123'; $VAR7 = '1.25254990752453e-10'; $VAR8 = '1.59250587760056e-07'; $VAR9 = '0.000537569271483859'; $VAR10 = '0.000126222498280786'; $VAR11 = '0.00293843355039524'; $VAR12 = '0.0496417398369397'; $VAR13 = '8.9439240102641e-13'; $VAR14 = '0.000128058267195156'; $VAR15 = '2.38293766108384e-09'; $VAR16 = '6.25187298523881e-08'; $VAR17 = '8.20724227980693e-05'; $VAR18 = '0.00227401024650385'; $VAR19 = '0.00069490883665302'; $VAR20 = '0.00535016587016372'; $VAR21 = '0.00733048473010601'; $VAR22 = '1.71331264788332e-06'; $VAR23 = '0.00374428786181373'; $VAR24 = '4.40639874236091e-05'; $VAR25 = '0.0361040482150536'; $VAR26 = '0.0252372655273234'; $VAR27 = '0.0285666032187677'; $VAR28 = '0.0164392823665124'; $VAR29 = '0.00197851472472982'; $VAR30 = '0.0531123233812301'; $VAR31 = '0.0582068082397993';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.539593963238606'; $VAR2 = '0.460406036761394';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.675358519261581'; $VAR3 = 31; $VAR4 = '0.324641480738419';

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
0.123853211009174
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
0.889795918367347

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

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.909090909090909
testsize: 3571

Author Z-Score-Based P-Values
$VAR1 = '0.200267053006854'; $VAR2 = '0.135052668034917';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.25080990186251e-08'; $VAR2 = '3.23348549349236e-08'; $VAR3 = '1.48219693752374e-323'; $VAR4 = '7.31169032805481e-186'; $VAR5 = '4.91766245335339e-137'; $VAR6 = '0.00525566421780086'; $VAR7 = '5.16941101635458e-09'; $VAR8 = '9.98279600971924e-07'; $VAR9 = '0.000325949115843221'; $VAR10 = '0.000203233602546408'; $VAR11 = '0.00470390775041938'; $VAR12 = '0.0207650678053262'; $VAR13 = '7.90011767306373e-15'; $VAR14 = '0.000420881759636329'; $VAR15 = '9.05506869362248e-07'; $VAR16 = '2.58764301403809e-08'; $VAR17 = '0.00301014502649149'; $VAR18 = '0.0127718076961982'; $VAR19 = '0.000176902982723964'; $VAR20 = '0.000361056420843077'; $VAR21 = '0.0322797115346298'; $VAR22 = '0.000260057740407581'; $VAR23 = '0.00661322777741474'; $VAR24 = '0.00110326148022466'; $VAR25 = '0.0240007407026199'; $VAR26 = '0.0604203442573346'; $VAR27 = '0.048107112342932'; $VAR28 = '0.0285266976915588'; $VAR29 = '0.0064280156011492'; $VAR30 = '0.0391127794075452'; $VAR31 = '0.0390014396193409';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.59724209594552'; $VAR2 = '0.40275790405448';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.768226830712101'; $VAR3 = 26; $VAR4 = '0.231773169287899';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.625
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0596330275229358
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
0.912897822445561

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.684210526315789
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.477386934673367

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 3578

Author Z-Score-Based P-Values
$VAR1 = '0.242002216457784'; $VAR2 = '0.215706103216614';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '2.66156117632369e-09'; $VAR2 = '1.23646254174386e-08'; $VAR3 = '5.24513131921661e-255'; $VAR4 = '4.65132080884578e-239'; $VAR5 = '2.7989889478522e-84'; $VAR6 = '0.0221649230306801'; $VAR7 = '1.90864479292918e-11'; $VAR8 = '9.57068765789276e-08'; $VAR9 = '0.00116052280238351'; $VAR10 = '0.00265378894887361'; $VAR11 = '0.0144345487236931'; $VAR12 = '0.101018032864979'; $VAR13 = '3.85336025470356e-08'; $VAR14 = '0.000700067737443435'; $VAR15 = '4.41106948368618e-07'; $VAR16 = '1.34519960558797e-06'; $VAR17 = '0.0015801395804132'; $VAR18 = '0.0138548819080285'; $VAR19 = '0.00211143088666373'; $VAR20 = '0.00359303409065238'; $VAR21 = '0.0521603851398911'; $VAR22 = '0.00025734807446008'; $VAR23 = '0.00699043276611865'; $VAR24 = '0.000961398487200152'; $VAR25 = '0.0814432013970574'; $VAR26 = '0.0701377209478797'; $VAR27 = '0.0496589495925152'; $VAR28 = '0.0820594441845436'; $VAR29 = '0.0117854696489975'; $VAR30 = '0.0852710781541664'; $VAR31 = '0.0949505440973795';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.528725841448411'; $VAR2 = '0.471274158551589';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.705504170484331'; $VAR3 = 12; $VAR4 = '0.294495829515669';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.6
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0596330275229358
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
0.909596662030598

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.684210526315789
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.467213114754098

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 3666

Author Z-Score-Based P-Values
$VAR1 = '0.278055178636291'; $VAR2 = '0.271436625202659';
Great compatibility. Z-Score-Based P-Value > 0.20.
Great indicator. 3.1% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '1.44263567119777e-10'; $VAR2 = '8.64309314396218e-10'; $VAR3 = '3.80114651879233e-225'; $VAR4 = '5.59100097954342e-191'; $VAR5 = '1.47049825257557e-48'; $VAR6 = '0.0201953294827911'; $VAR7 = '2.70205786508324e-16'; $VAR8 = '3.18693332795729e-09'; $VAR9 = '0.000544450943852141'; $VAR10 = '0.00171221645394589'; $VAR11 = '0.00851179694196891'; $VAR12 = '0.139917721221254'; $VAR13 = '1.30211501637884e-10'; $VAR14 = '0.000328202608172812'; $VAR15 = '2.91668640575798e-06'; $VAR16 = '4.42388519710376e-08'; $VAR17 = '0.00103016812883291'; $VAR18 = '0.0123614705618913'; $VAR19 = '0.00503377436436235'; $VAR20 = '0.0177926841493232'; $VAR21 = '0.0712735046017049'; $VAR22 = '0.000327652930888354'; $VAR23 = '0.00222706042864725'; $VAR24 = '0.000651304836157435'; $VAR25 = '0.0741731152751991'; $VAR26 = '0.0782522555869696'; $VAR27 = '0.018147831345312'; $VAR28 = '0.0748472141600361'; $VAR29 = '0.0117609524928808'; $VAR30 = '0.0986981282241546'; $VAR31 = '0.11787734698643';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.506022431442464'; $VAR2 = '0.493977568557536';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.6652469065125'; $VAR3 = 12; $VAR4 = '0.3347530934875';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.641025641025641
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0521327014218009
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
0.924789621318373

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

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 3737

Author Z-Score-Based P-Values
$VAR1 = '0.197621504998939'; $VAR2 = '0.204289770805188';
Great compatibility. Z-Score-Based P-Value > 0.20.
Excellent indicator. 0% of the rest have P-Value > 0.2.

Control Z-Score-Based P-Values
$VAR1 = '4.64664081834029e-43'; $VAR2 = '6.72503117327565e-13'; $VAR3 = '8.15670365830048e-317'; $VAR4 = '4.78442686759208e-306'; $VAR5 = '7.22246254711809e-112'; $VAR6 = '0.00320223608700742'; $VAR7 = '3.69181731233192e-18'; $VAR8 = '4.516395805346e-07'; $VAR9 = '0.000125999615867781'; $VAR10 = '5.71510393066619e-05'; $VAR11 = '0.00372956189986507'; $VAR12 = '0.0600318578411438'; $VAR13 = '7.38250953888452e-11'; $VAR14 = '0.000205164345845942'; $VAR15 = '3.10658451652e-06'; $VAR16 = '2.24729533629959e-09'; $VAR17 = '0.00382298710782948'; $VAR18 = '0.0120267360225639'; $VAR19 = '9.46294196671657e-05'; $VAR20 = '0.00501247862660395'; $VAR21 = '0.0389888276152818'; $VAR22 = '0.000111948705967918'; $VAR23 = '0.00180639925291951'; $VAR24 = '4.40080800740431e-07'; $VAR25 = '0.0690859206524289'; $VAR26 = '0.0130945532583339'; $VAR27 = '0.0117531790887098'; $VAR28 = '0.0029491322920676'; $VAR29 = '0.00140448397952952'; $VAR30 = '0.0388302367815931'; $VAR31 = '0.0569819872290037';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.491704306139574'; $VAR2 = '0.508295693860426';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 2; $VAR2 = '0.747285794563268'; $VAR3 = 25; $VAR4 = '0.252714205436733';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.555555555555556
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.0622222222222222
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
0.899280575539568

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.368421052631579
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.60126582278481

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 3622

Author Z-Score-Based P-Values
$VAR1 = '0.113978394840474'; $VAR2 = '0.104471359041489';
Good compatibility. Z-Score-Based P-Value > 0.10.
Good indicator. 6.2% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.00287450831591e-11'; $VAR2 = '5.97223508701939e-09'; $VAR3 = '1.75157116475923e-275'; $VAR4 = '2.31618398979569e-302'; $VAR5 = '7.55693422440209e-50'; $VAR6 = '0.00419214913911689'; $VAR7 = '5.85174524490065e-12'; $VAR8 = '8.21704596362554e-11'; $VAR9 = '3.24691755502743e-05'; $VAR10 = '0.000202101003315665'; $VAR11 = '0.00205510540906175'; $VAR12 = '0.024582651397542'; $VAR13 = '3.36348409970452e-24'; $VAR14 = '0.000109450078701341'; $VAR15 = '5.0876473447093e-08'; $VAR16 = '2.83120865030613e-07'; $VAR17 = '0.00177891839560747'; $VAR18 = '0.00320945532222649'; $VAR19 = '0.000640244813544737'; $VAR20 = '0.000447756257840154'; $VAR21 = '0.0120299213934158'; $VAR22 = '1.88080497946487e-05'; $VAR23 = '0.00440576076627397'; $VAR24 = '2.37453686249403e-06'; $VAR25 = '0.0414960142085092'; $VAR26 = '0.0282265065588861'; $VAR27 = '0.00728254586324005'; $VAR28 = '0.0167420771208946'; $VAR29 = '0.00222243901506791'; $VAR30 = '0.0384952209055696'; $VAR31 = '0.102915916306774';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.521760234630712'; $VAR2 = '0.478239765369288';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.525502002508009'; $VAR3 = 31; $VAR4 = '0.47449799749199';

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
0.106481481481481
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
0.903765690376569

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

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.111111111111111
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.9
testsize: 3697

Author Z-Score-Based P-Values
$VAR1 = '0.120847123364487'; $VAR2 = '0.0936224439884912';
Good compatibility. Z-Score-Based P-Value > 0.10.
Excellent indicator. 0% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '7.79911726239931e-11'; $VAR2 = '1.07687992467142e-13'; $VAR3 = '1.68476385231865e-321'; $VAR4 = '5.65944523472625e-218'; $VAR5 = '2.13523867545385e-48'; $VAR6 = '0.00186720027621182'; $VAR7 = '7.49655763569619e-16'; $VAR8 = '4.46075978331494e-06'; $VAR9 = '0.000264646653439555'; $VAR10 = '0.000286930267295607'; $VAR11 = '0.00691683615088179'; $VAR12 = '0.0285889670310512'; $VAR13 = '6.15601967092899e-16'; $VAR14 = '0.000257448472435361'; $VAR15 = '9.4686021643781e-14'; $VAR16 = '5.09138717381134e-13'; $VAR17 = '3.69952060493448e-09'; $VAR18 = '0.0143497080686621'; $VAR19 = '8.1348815741317e-06'; $VAR20 = '0.00236151451800718'; $VAR21 = '0.0152022393543972'; $VAR22 = '1.1653427486814e-09'; $VAR23 = '0.00646966311502279'; $VAR24 = '2.36446217592683e-06'; $VAR25 = '0.0367511019403536'; $VAR26 = '0.0107462477764655'; $VAR27 = '0.0139772184386834'; $VAR28 = '0.0116077872158444'; $VAR29 = '0.000619904241592029'; $VAR30 = '0.0297572878158675'; $VAR31 = '0.0321870854239843';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.563469795999515'; $VAR2 = '0.436530204000485';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.766805102854005'; $VAR3 = 25; $VAR4 = '0.233194897145995';

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

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

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
1
testsize: 3632

Author Z-Score-Based P-Values
$VAR1 = '0.0691456581575521'; $VAR2 = '0.045955367979177';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Excellent indicator. 0% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '1.89578847530006e-16'; $VAR2 = '1.31398744480584e-16'; $VAR3 = '1.68627866831175e-269'; $VAR4 = '1.77341870772347e-256'; $VAR5 = '4.50202984880486e-61'; $VAR6 = '2.34573107282973e-05'; $VAR7 = '1.19423667804244e-21'; $VAR8 = '2.13148802254483e-13'; $VAR9 = '1.48987607873362e-08'; $VAR10 = '5.22020485507549e-09'; $VAR11 = '0.00100771058313581'; $VAR12 = '0.00247279006962636'; $VAR13 = '9.32536109363177e-23'; $VAR14 = '1.38391382094019e-05'; $VAR15 = '4.68910515371743e-10'; $VAR16 = '9.99945169255141e-06'; $VAR17 = '0.00142744231579486'; $VAR18 = '0.0014897219433332'; $VAR19 = '2.34241940985553e-06'; $VAR20 = '7.20640866701441e-06'; $VAR21 = '0.00210990716408465'; $VAR22 = '2.38507796472203e-06'; $VAR23 = '0.00209459560331295'; $VAR24 = '2.35238995440032e-11'; $VAR25 = '0.00382216011705577'; $VAR26 = '8.61748482860165e-05'; $VAR27 = '0.000708289384470285'; $VAR28 = '3.48046023202875e-09'; $VAR29 = '3.5088140002102e-06'; $VAR30 = '0.00175111360432723'; $VAR31 = '0.00707284005621215';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.600738850715489'; $VAR2 = '0.399261149284511';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.907203103944983'; $VAR3 = 31; $VAR4 = '0.0927968960550166';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0691 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0691 Test, Z-Score-Based Method
0.218604651162791
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
0.820610687022901

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0691 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0691 Test, Z-Score-Based Method
0.333333333333333
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.75
testsize: 3653

Author Z-Score-Based P-Values
$VAR1 = '0.0755627682759382'; $VAR2 = '0.0695667203219625';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Great indicator. 3.1% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '3.45186816716542e-15'; $VAR2 = '2.46690839673357e-13'; $VAR3 = '1.97846661450459e-253'; $VAR4 = '1.61482240452579e-306'; $VAR5 = '8.99017127059588e-49'; $VAR6 = '0.000163388896764118'; $VAR7 = '3.6951748638291e-20'; $VAR8 = '1.08636326782592e-12'; $VAR9 = '6.4739297621086e-07'; $VAR10 = '3.9091919959211e-07'; $VAR11 = '0.00432567212509868'; $VAR12 = '0.0224981084371283'; $VAR13 = '1.76330195733255e-19'; $VAR14 = '1.11488264304621e-05'; $VAR15 = '4.93549062749466e-10'; $VAR16 = '5.03726691146317e-06'; $VAR17 = '0.000738338408833068'; $VAR18 = '0.0025125580362333'; $VAR19 = '4.89761366816735e-06'; $VAR20 = '0.00128643314716308'; $VAR21 = '0.00270691073966864'; $VAR22 = '5.74325203652538e-06'; $VAR23 = '0.000195238857256606'; $VAR24 = '4.71452712199468e-10'; $VAR25 = '0.0146149162858498'; $VAR26 = '0.00082333247587347'; $VAR27 = '0.00351778725180959'; $VAR28 = '1.17953700779274e-05'; $VAR29 = '0.000155196387401478'; $VAR30 = '0.023458776827979'; $VAR31 = '0.0257622778542133';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.520657579696255'; $VAR2 = '0.479342420303745';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.745746201574665'; $VAR3 = 31; $VAR4 = '0.254253798425335';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0755 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0755 Test, Z-Score-Based Method
0.172897196261682
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
0.852589641434263

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0755 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0755 Test, Z-Score-Based Method
0.222222222222222
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.818181818181818
testsize: 3369

Author Z-Score-Based P-Values
$VAR1 = '0.0597451684567706'; $VAR2 = '0.0484706439550631';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Excellent indicator. 0% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '5.5976888594976e-17'; $VAR2 = '5.67258899467932e-09'; $VAR3 = '2.86522481541977e-13'; $VAR4 = '0'; $VAR5 = '8.85424448264338e-73'; $VAR6 = '0.000201812108308543'; $VAR7 = '5.68496409480599e-16'; $VAR8 = '3.73890935510988e-12'; $VAR9 = '1.51371931873693e-07'; $VAR10 = '2.97008092583794e-05'; $VAR11 = '0.00238047440546876'; $VAR12 = '0.0150935235357719'; $VAR13 = '2.56476824872376e-13'; $VAR14 = '1.83989747157448e-05'; $VAR15 = '1.1634749092073e-12'; $VAR16 = '2.55312822879828e-07'; $VAR17 = '6.51877106745303e-05'; $VAR18 = '0.00735819872777542'; $VAR19 = '2.44775633876417e-07'; $VAR20 = '0.000744300409515905'; $VAR21 = '0.00560307728212241'; $VAR22 = '8.1824934082545e-06'; $VAR23 = '0.000168189527254673'; $VAR24 = '1.57350209233227e-06'; $VAR25 = '0.0396332427299892'; $VAR26 = '0.0153117132529565'; $VAR27 = '0.0262703556826155'; $VAR28 = '0.00939352954456052'; $VAR29 = '0.00125309918282126'; $VAR30 = '0.00894328836889709'; $VAR31 = '0.0267695840886476';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.552092777619228'; $VAR2 = '0.447907222380772';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.601188605687132'; $VAR3 = 25; $VAR4 = '0.398811394312868';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0597 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0597 Test, Z-Score-Based Method
0.281385281385281
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
0.780405405405405

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0597 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0597 Test, Z-Score-Based Method
0.5
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.666666666666667
testsize: 3267

Author Z-Score-Based P-Values
$VAR1 = '0.0748556221565519'; $VAR2 = '0.0574981920732964';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Decent indicator. 12.5% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '1.13587995111153e-14'; $VAR2 = '6.81676763806811e-12'; $VAR3 = '9.81062668371902e-16'; $VAR4 = '7.57835969715585e-309'; $VAR5 = '2.3785284612524e-15'; $VAR6 = '0.00314993195781927'; $VAR7 = '3.94424397464827e-10'; $VAR8 = '0.000199545726043318'; $VAR9 = '0.00114926334154727'; $VAR10 = '0.000927772277508375'; $VAR11 = '0.0151527351429306'; $VAR12 = '0.0540361887648178'; $VAR13 = '1.79815120715749e-07'; $VAR14 = '0.00354987007540264'; $VAR15 = '2.25440857312397e-08'; $VAR16 = '9.89790101103478e-06'; $VAR17 = '0.000571660524049152'; $VAR18 = '0.016971412915074'; $VAR19 = '6.48761229348704e-05'; $VAR20 = '0.00961610478446627'; $VAR21 = '0.0118370020884223'; $VAR22 = '7.69909810969206e-07'; $VAR23 = '0.0103692776421786'; $VAR24 = '0.000195970917445622'; $VAR25 = '0.0502290622577891'; $VAR26 = '0.0129520515876046'; $VAR27 = '0.0538505445881075'; $VAR28 = '0.00425626534949494'; $VAR29 = '0.000693652282457637'; $VAR30 = '0.0389283094906707'; $VAR31 = '0.0456354061090511';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.565572081107962'; $VAR2 = '0.434427918892038';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.580763212351927'; $VAR3 = 12; $VAR4 = '0.419236787648073';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0748 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0748 Test, Z-Score-Based Method
0.224066390041494
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
0.816949152542373

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0748 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0748 Test, Z-Score-Based Method
0.5
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.666666666666667
testsize: 3293

Author Z-Score-Based P-Values
$VAR1 = '0.157406819770316'; $VAR2 = '0.111535566343673';
Good compatibility. Z-Score-Based P-Value > 0.10.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '2.16177164444881e-09'; $VAR2 = '3.95133303784214e-09'; $VAR3 = '1.26012171706644e-10'; $VAR4 = '1.65961375654874e-130'; $VAR5 = '7.32494069460344e-53'; $VAR6 = '6.69034716781244e-05'; $VAR7 = '1.06546888344091e-09'; $VAR8 = '0.000109740819866385'; $VAR9 = '0.000163284262278932'; $VAR10 = '8.04239877309034e-05'; $VAR11 = '0.0046951305763072'; $VAR12 = '0.0221195805749862'; $VAR13 = '1.88643911843646e-09'; $VAR14 = '0.000291635886079143'; $VAR15 = '1.66713319310043e-09'; $VAR16 = '3.37751378146574e-10'; $VAR17 = '0.000217658062812491'; $VAR18 = '0.00979675997688751'; $VAR19 = '0.00147427818557334'; $VAR20 = '0.00452531715208439'; $VAR21 = '0.0136761531595006'; $VAR22 = '1.73496413559014e-05'; $VAR23 = '0.010896496437655'; $VAR24 = '0.000737484398926321'; $VAR25 = '0.0406866086689045'; $VAR26 = '0.0456367677474906'; $VAR27 = '0.0375867085058271'; $VAR28 = '0.0171642291476935'; $VAR29 = '0.00334149953848908'; $VAR30 = '0.0545750957706483'; $VAR31 = '0.0613560472938641';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.58528081811396'; $VAR2 = '0.41471918188604';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.719531709758295'; $VAR3 = 31; $VAR4 = '0.280468290241705';

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
0.134453781512605
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
0.881481481481482

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

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.3
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.769230769230769
"... 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 » Fri Jun 05, 2015 11:55 am

Six samples are taken of the homilies known as 'In Jeremiam' 12-20 (continuing the numbered homilies on Jeremiah). The samples are taken along homily division: 12th-13th Homily (4195 words), 14th Homily (3791 words), 15th-16th Homily (3612 words), 17th-18th Homily (4283 words), 19th Homily (2187 words), and 20th Homily (4516 words). Direct quotes were removed first. The same list of 33 words was used. The author of the Contra Celsum was treated as the 'Origen' candidate. Between Eusebius and Origen, Origen is picked over Eusebius 6 out of 6 times. Origen is picked over all the controls for the 12th-13th Homily, the 17th-18th Homily, the 19th Homily, and the 20th Homily. A control is selected over Origen for the other two samples (14th Homily Homily, 15th-16th Homily).
testsize: 4195
$VAR1 = 272; $VAR2 = 192; $VAR3 = 97; $VAR4 = 285; $VAR5 = 63; $VAR6 = 71; $VAR7 = 2; $VAR8 = 11; $VAR9 = 1; $VAR10 = 131; $VAR11 = 34; $VAR12 = 199; $VAR13 = 0; $VAR14 = 10; $VAR15 = 69; $VAR16 = 35; $VAR17 = 19; $VAR18 = 21; $VAR19 = 27; $VAR20 = 42; $VAR21 = 23; $VAR22 = 35; $VAR23 = 46; $VAR24 = 4; $VAR25 = 22; $VAR26 = 13; $VAR27 = 28; $VAR28 = 8; $VAR29 = 47; $VAR30 = 28; $VAR31 = 45; $VAR32 = 9; $VAR33 = 28;

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

Author Z-Score-Based P-Values
$VAR1 = '0.0850351476011564'; $VAR2 = '0.0409079003348296';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Great indicator. 3.1% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '1.02832731348049e-29'; $VAR2 = '4.64661878383989e-07'; $VAR3 = '5.61511355819877e-307'; $VAR4 = '0'; $VAR5 = '6.54041830427425e-95'; $VAR6 = '0.0017250063413398'; $VAR7 = '7.51171248032344e-17'; $VAR8 = '6.62196867710683e-38'; $VAR9 = '5.99300968987989e-07'; $VAR10 = '7.10789386816121e-06'; $VAR11 = '1.21265145073875e-05'; $VAR12 = '0.0104997566900305'; $VAR13 = '5.12025647475804e-53'; $VAR14 = '8.96879289030095e-09'; $VAR15 = '3.59300172006744e-11'; $VAR16 = '4.52354362103527e-18'; $VAR17 = '8.66850146757575e-08'; $VAR18 = '0.000526795902831166'; $VAR19 = '7.76688663816036e-05'; $VAR20 = '0.000903634969692826'; $VAR21 = '0.00132442992457566'; $VAR22 = '1.04516977904196e-07'; $VAR23 = '6.35134706738732e-06'; $VAR24 = '3.93287161794246e-06'; $VAR25 = '0.0150332082858312'; $VAR26 = '0.0364729738583033'; $VAR27 = '0.00570687352163369'; $VAR28 = '0.00813811254828198'; $VAR29 = '0.000132837701873057'; $VAR30 = '0.0282527829252823'; $VAR31 = '0.0640056410804089';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.675187308825318'; $VAR2 = '0.324812691174682';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.570549500934534'; $VAR3 = 31; $VAR4 = '0.429450499065466';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.085 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.085 Test, Z-Score-Based Method
0.119565217391304
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
0.893203883495146

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.085 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.085 Test, Z-Score-Based Method
0.25
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.8
testsize: 3791
$VAR1 = 243; $VAR2 = 184; $VAR3 = 92; $VAR4 = 252; $VAR5 = 70; $VAR6 = 52; $VAR7 = 0; $VAR8 = 19; $VAR9 = 0; $VAR10 = 107; $VAR11 = 48; $VAR12 = 192; $VAR13 = 0; $VAR14 = 5; $VAR15 = 52; $VAR16 = 25; $VAR17 = 40; $VAR18 = 16; $VAR19 = 35; $VAR20 = 45; $VAR21 = 27; $VAR22 = 42; $VAR23 = 29; $VAR24 = 16; $VAR25 = 13; $VAR26 = 10; $VAR27 = 28; $VAR28 = 7; $VAR29 = 24; $VAR30 = 28; $VAR31 = 19; $VAR32 = 9; $VAR33 = 20;

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

Author Z-Score-Based P-Values
$VAR1 = '0.0435754117812339'; $VAR2 = '0.0353623337933402';
Poor compatibility. Z-Score-Based P-Value < 0.05.
Decent indicator. 15.6% of the rest have P-Value > 0.01.

Control Z-Score-Based P-Values
$VAR1 = '7.06770519107268e-58'; $VAR2 = '2.20993877352943e-05'; $VAR3 = '6.39204299112189e-300'; $VAR4 = '1.61329775664637e-237'; $VAR5 = '1.83727539825673e-39'; $VAR6 = '0.00132107959795629'; $VAR7 = '2.58778074387014e-16'; $VAR8 = '7.37826082842605e-17'; $VAR9 = '9.66657677444176e-09'; $VAR10 = '1.93233944360393e-05'; $VAR11 = '3.86340414156182e-05'; $VAR12 = '0.00389059045841846'; $VAR13 = '2.89559703233334e-21'; $VAR14 = '6.00568761235019e-08'; $VAR15 = '1.11507684272069e-10'; $VAR16 = '2.38317700208227e-18'; $VAR17 = '4.90772714014867e-06'; $VAR18 = '0.000291663767118709'; $VAR19 = '1.54220918501914e-06'; $VAR20 = '0.000124653365145824'; $VAR21 = '0.0021816597859417'; $VAR22 = '3.3664772216503e-08'; $VAR23 = '4.05905089553911e-05'; $VAR24 = '9.67226911746449e-09'; $VAR25 = '0.0173485506901514'; $VAR26 = '0.0432646595965411'; $VAR27 = '0.000340454901007038'; $VAR28 = '0.00649930994521101'; $VAR29 = '0.000368084259200314'; $VAR30 = '0.0265379709719305'; $VAR31 = '0.0618202926957401';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.552022501580911'; $VAR2 = '0.447977498419089';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.41344580405318'; $VAR3 = 31; $VAR4 = '0.58655419594682';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0435 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0435 Test, Z-Score-Based Method
0.339901477832512
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
0.746323529411765

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0435 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0435 Test, Z-Score-Based Method
0.555555555555556
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.642857142857143
testsize: 3612
$VAR1 = 254; $VAR2 = 174; $VAR3 = 76; $VAR4 = 290; $VAR5 = 60; $VAR6 = 48; $VAR7 = 11; $VAR8 = 12; $VAR9 = 1; $VAR10 = 116; $VAR11 = 31; $VAR12 = 213; $VAR13 = 0; $VAR14 = 11; $VAR15 = 44; $VAR16 = 14; $VAR17 = 31; $VAR18 = 12; $VAR19 = 50; $VAR20 = 37; $VAR21 = 17; $VAR22 = 41; $VAR23 = 28; $VAR24 = 8; $VAR25 = 18; $VAR26 = 5; $VAR27 = 22; $VAR28 = 3; $VAR29 = 29; $VAR30 = 22; $VAR31 = 11; $VAR32 = 9; $VAR33 = 24;

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

Author Z-Score-Based P-Values
$VAR1 = '0.0491386855987189'; $VAR2 = '0.0466145141705779';
Poor compatibility. Z-Score-Based P-Value < 0.05.
Decent indicator. 15.6% of the rest have P-Value > 0.01.

Control Z-Score-Based P-Values
$VAR1 = '3.75621100553181e-12'; $VAR2 = '2.07901562326113e-07'; $VAR3 = '0'; $VAR4 = '0'; $VAR5 = '7.4455708913891e-49'; $VAR6 = '0.00224368709314052'; $VAR7 = '1.29105352831103e-11'; $VAR8 = '6.88513924296868e-18'; $VAR9 = '1.66218108549535e-06'; $VAR10 = '3.8728664002497e-06'; $VAR11 = '0.000207861732725595'; $VAR12 = '0.00907446521602073'; $VAR13 = '5.07042769625765e-26'; $VAR14 = '1.49763411408099e-06'; $VAR15 = '9.15248594522185e-11'; $VAR16 = '9.28066945603982e-12'; $VAR17 = '0.000263341702883144'; $VAR18 = '0.00188078283497749'; $VAR19 = '5.39231158904628e-05'; $VAR20 = '2.16195611002239e-08'; $VAR21 = '0.00260724898322571'; $VAR22 = '1.37911551295083e-06'; $VAR23 = '0.00049288242235615'; $VAR24 = '2.02245086887824e-06'; $VAR25 = '0.011278577403241'; $VAR26 = '0.0229860118086194'; $VAR27 = '0.000834366499950109'; $VAR28 = '0.00060484791632154'; $VAR29 = '0.00108204942979721'; $VAR30 = '0.028298738245938'; $VAR31 = '0.0621283095561008';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.513180611374986'; $VAR2 = '0.486819388625014';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.441628584742008'; $VAR3 = 31; $VAR4 = '0.558371415257992';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0491 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0491 Test, Z-Score-Based Method
0.37962962962963
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
0.724832214765101

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0491 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0491 Test, Z-Score-Based Method
0.666666666666667
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.6
testsize: 4283
$VAR1 = 317; $VAR2 = 215; $VAR3 = 90; $VAR4 = 291; $VAR5 = 93; $VAR6 = 59; $VAR7 = 1; $VAR8 = 20; $VAR9 = 3; $VAR10 = 119; $VAR11 = 45; $VAR12 = 219; $VAR13 = 3; $VAR14 = 7; $VAR15 = 57; $VAR16 = 26; $VAR17 = 17; $VAR18 = 22; $VAR19 = 35; $VAR20 = 45; $VAR21 = 16; $VAR22 = 38; $VAR23 = 36; $VAR24 = 11; $VAR25 = 22; $VAR26 = 15; $VAR27 = 31; $VAR28 = 12; $VAR29 = 18; $VAR30 = 31; $VAR31 = 53; $VAR32 = 16; $VAR33 = 40;

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

Author Z-Score-Based P-Values
$VAR1 = '0.069581453233039'; $VAR2 = '0.0616911481598723';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Great indicator. 3.1% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '1.35574362137336e-27'; $VAR2 = '8.43234170639904e-08'; $VAR3 = '0'; $VAR4 = '0'; $VAR5 = '1.18998886901704e-64'; $VAR6 = '0.000149328906309994'; $VAR7 = '3.34538079644245e-17'; $VAR8 = '1.79497213424406e-44'; $VAR9 = '4.58329790366791e-08'; $VAR10 = '6.77515159768623e-06'; $VAR11 = '1.54851634236832e-06'; $VAR12 = '0.00597672212097737'; $VAR13 = '3.87034990694673e-51'; $VAR14 = '1.22634561642914e-10'; $VAR15 = '8.65628629751962e-10'; $VAR16 = '3.37977750455373e-20'; $VAR17 = '3.12349909068135e-06'; $VAR18 = '0.0010825916199906'; $VAR19 = '0.000104672126295828'; $VAR20 = '0.00186644388157983'; $VAR21 = '0.00140600418720968'; $VAR22 = '1.3263800297667e-05'; $VAR23 = '4.09383470456757e-05'; $VAR24 = '5.66073481152437e-11'; $VAR25 = '0.0102625760930049'; $VAR26 = '0.022178083982038'; $VAR27 = '0.000615756823192813'; $VAR28 = '0.00474107529904607'; $VAR29 = '0.00043124545301489'; $VAR30 = '0.0248227781771249'; $VAR31 = '0.0408542305030988';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.53005312985895'; $VAR2 = '0.46994687014105';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.630063136108152'; $VAR3 = 31; $VAR4 = '0.369936863891848';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0695 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0695 Test, Z-Score-Based Method
0.164835164835165
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
0.858490566037736

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0695 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0695 Test, Z-Score-Based Method
0.375
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.727272727272727
testsize: 2187
$VAR1 = 157; $VAR2 = 101; $VAR3 = 51; $VAR4 = 148; $VAR5 = 53; $VAR6 = 33; $VAR7 = 4; $VAR8 = 3; $VAR9 = 2; $VAR10 = 60; $VAR11 = 17; $VAR12 = 119; $VAR13 = 0; $VAR14 = 0; $VAR15 = 28; $VAR16 = 21; $VAR17 = 11; $VAR18 = 8; $VAR19 = 26; $VAR20 = 16; $VAR21 = 23; $VAR22 = 19; $VAR23 = 18; $VAR24 = 6; $VAR25 = 17; $VAR26 = 0; $VAR27 = 10; $VAR28 = 4; $VAR29 = 15; $VAR30 = 10; $VAR31 = 10; $VAR32 = 3; $VAR33 = 21;

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

Author Z-Score-Based P-Values
$VAR1 = '0.127334954210852'; $VAR2 = '0.115430883020203';
Good compatibility. Z-Score-Based P-Value > 0.10.
Good indicator. 6.2% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '6.45391121400981e-05'; $VAR2 = '0.00272594183163856'; $VAR3 = '1.23795948880563e-06'; $VAR4 = '1.06381622119153e-08'; $VAR5 = '5.65433837937644e-07'; $VAR6 = '0.0217157454548895'; $VAR7 = '1.8940218017505e-06'; $VAR8 = '0.000302067171291986'; $VAR9 = '0.000252220640344746'; $VAR10 = '0.00124347505710954'; $VAR11 = '0.00759847598678895'; $VAR12 = '0.0248923248266586'; $VAR13 = '3.50029097258244e-05'; $VAR14 = '0.00072543114047678'; $VAR15 = '7.40903249315583e-07'; $VAR16 = '2.41577059457041e-07'; $VAR17 = '0.000833488864601499'; $VAR18 = '0.0213052948200837'; $VAR19 = '0.016679827942511'; $VAR20 = '0.0187053053658'; $VAR21 = '0.0169078980493474'; $VAR22 = '0.000117577727811846'; $VAR23 = '0.00433014962736323'; $VAR24 = '0.000513234572626675'; $VAR25 = '0.0697382648100263'; $VAR26 = '0.0646669123475674'; $VAR27 = '0.0492768065569502'; $VAR28 = '0.0318287216857859'; $VAR29 = '0.0110835477128697'; $VAR30 = '0.0627103449722501'; $VAR31 = '0.103044932995286';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.524517599606323'; $VAR2 = '0.475482400393677';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.552717321616345'; $VAR3 = 31; $VAR4 = '0.447282678383655';

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
0.225895316804408
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
0.815730337078652

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

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0.3125
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.761904761904762
testsize: 4516
$VAR1 = 299; $VAR2 = 151; $VAR3 = 101; $VAR4 = 315; $VAR5 = 74; $VAR6 = 68; $VAR7 = 1; $VAR8 = 22; $VAR9 = 4; $VAR10 = 117; $VAR11 = 54; $VAR12 = 262; $VAR13 = 0; $VAR14 = 8; $VAR15 = 75; $VAR16 = 48; $VAR17 = 20; $VAR18 = 28; $VAR19 = 54; $VAR20 = 46; $VAR21 = 10; $VAR22 = 57; $VAR23 = 32; $VAR24 = 14; $VAR25 = 24; $VAR26 = 7; $VAR27 = 22; $VAR28 = 18; $VAR29 = 46; $VAR30 = 22; $VAR31 = 8; $VAR32 = 6; $VAR33 = 24;

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

Author Z-Score-Based P-Values
$VAR1 = '0.0551366952840571'; $VAR2 = '0.0319545300383521';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Excellent indicator. 0% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '3.39596903000755e-38'; $VAR2 = '1.09200913972747e-12'; $VAR3 = '1.92607583136486e-312'; $VAR4 = '0'; $VAR5 = '2.55343467265084e-36'; $VAR6 = '2.14673477736457e-06'; $VAR7 = '8.64984280518831e-18'; $VAR8 = '1.69753010356901e-50'; $VAR9 = '2.81331207250854e-13'; $VAR10 = '1.96222798608365e-08'; $VAR11 = '1.33623369330077e-08'; $VAR12 = '0.00328169345317269'; $VAR13 = '1.09714462726457e-37'; $VAR14 = '5.20803431847672e-10'; $VAR15 = '1.9504661106738e-10'; $VAR16 = '4.67660033297279e-15'; $VAR17 = '9.15230054330318e-06'; $VAR18 = '0.00153337615668288'; $VAR19 = '2.62155910104368e-07'; $VAR20 = '6.44759018757106e-07'; $VAR21 = '0.00448687076723351'; $VAR22 = '1.1913565933365e-07'; $VAR23 = '6.42501654394046e-08'; $VAR24 = '1.21954942014882e-09'; $VAR25 = '0.00984546889865954'; $VAR26 = '0.0225463393067401'; $VAR27 = '1.18704729150202e-05'; $VAR28 = '0.00144182002467138'; $VAR29 = '0.00107143626592652'; $VAR30 = '0.00787213332760857'; $VAR31 = '0.0464778610447162';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.633091279631704'; $VAR2 = '0.366908720368296';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.542606268984364'; $VAR3 = 31; $VAR4 = '0.457393731015636';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0551 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0551 Test, Z-Score-Based Method
0.233532934131737
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
0.810679611650486

Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0551 Test, Z-Score-Based Method
1
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
0.5

Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0551 Test, Z-Score-Based Method
0.571428571428571
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Z-Score-Based Method
0.636363636363636
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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Fri Jun 05, 2015 12:20 pm

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

In JeremiamControl Group (Results in Authentic Works)
Positives675
Negatives517

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

It is plausible to assume that all twenty of the homilies 'In Jeremiam' came from Origen, but it doesn't seem very likely.
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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Fri Jun 05, 2015 12:52 pm

Playing around a bit with Fisher's exact test, the following seem to be the minimum requirements (the minimum number of negative results for the given number of positive results) for declaring inauthenticity (partial inauthenticity, anyway) demonstrated at the p-value < 0.05 significance level.
  • 0 positive, 2 negative
  • 1 positive, 3 negative
  • 2 positive, 4 negative
  • 3 positive, 4 negative
  • 4 positive, 5 negative
  • 5 positive, 5 negative
  • 6 positive, 6 negative
  • 7 positive, 6 negative
  • 8 positive, 6 negative
  • 9 positive, 7 negative
  • 10 positive, 7 negative
And so on...

http://in-silico.net/tools/statistics/fisher_exact_test
Image

This seems to imply that the results in the case of the 'catena' homily on Jeremiah, discussed before, most likely qualify as 'not Origen'.

(But small numbers are small numbers.)
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Re: Origen -- A Basic Stylometric Study

Post by Stephan Huller » Fri Jun 05, 2015 1:16 pm

When you said you tested the Commentary on John did you compare the first chapters with the last? I forget where the exact division starts but many people think Cyril of Alexandria is the author when the chapters get into the 20s.

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Re: Origen -- A Basic Stylometric Study

Post by Stephan Huller » Fri Jun 05, 2015 1:18 pm

Similarly when Andrew and I were talking about his thing on Leviticus. I noticed when I was using Google books that the really old versions of the work attribute it to Cyril

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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Fri Jun 05, 2015 1:29 pm

Stephan Huller wrote:When you said you tested the Commentary on John did you compare the first chapters with the last? I forget where the exact division starts but many people think Cyril of Alexandria is the author when the chapters get into the 20s.
The TLG lists the books in Greek of the Commentary on John as (all or part of): books 1, 2, 4, 5, 6, 10, 13.

All the Greek text in that part of this study comes from those books.

There are some other fragments attributed to 'catena' that haven't yet been reviewed.
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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Fri Jun 05, 2015 1:33 pm

Stephan Huller wrote:Similarly when Andrew and I were talking about his thing on Leviticus. I noticed when I was using Google books that the really old versions of the work attribute it to Cyril
Thanks for the info.
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Re: Origen -- A Basic Stylometric Study

Post by Peter Kirby » Fri Jun 05, 2015 5:33 pm

Nineteen samples were taken from the 'Commentarium in evangelium Matthaei' (books 12-17), each approximately 4000 words in length. The direct quotations were removed first. The same list of 33 words was used. The author of the Contra Celsum was treated as the 'Origen' candidate. Between Eusebius and Origen, Origen is selected as the better candidate 19 out of 19 times (100% accuracy). When the 31 controls are included as well, Origen is selected as the best candidate 18 out of 19 times (94.7% accuracy). Origen clearly seems to be the author.
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' ];
testsize: 4164


Author Z-Score-Based P-Values
$VAR1 = '0.13233408037092'; $VAR2 = '0.0989500570955149';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.24165830772663e-52'; $VAR2 = '6.36303451781431e-10'; $VAR3 = '0'; $VAR4 = '7.02036146472139e-297'; $VAR5 = '4.48792867241707e-56'; $VAR6 = '0.0031678965123547'; $VAR7 = '1.83972630532576e-15'; $VAR8 = '3.55989476580243e-13'; $VAR9 = '0.00626700344468393'; $VAR10 = '0.00763431857845481'; $VAR11 = '0.00552188222311673'; $VAR12 = '0.0559713394499514'; $VAR13 = '1.2875179453882e-68'; $VAR14 = '0.000404236979630025'; $VAR15 = '4.19823527294375e-08'; $VAR16 = '5.32460289254227e-09'; $VAR17 = '4.48615731100274e-06'; $VAR18 = '0.0200491530968256'; $VAR19 = '5.25846631875103e-05'; $VAR20 = '0.0195734314339264'; $VAR21 = '0.0201339999131115'; $VAR22 = '9.27555722273075e-10'; $VAR23 = '0.00474758987692211'; $VAR24 = '2.86329563714797e-05'; $VAR25 = '0.0696231269233133'; $VAR26 = '0.0481093996043711'; $VAR27 = '0.0233205706437508'; $VAR28 = '0.0240948992684057'; $VAR29 = '0.000800274221543523'; $VAR30 = '0.12110265380232'; $VAR31 = '0.0894827325093957';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.572171017954593'; $VAR2 = '0.427828982045407';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.52215824514398'; $VAR3 = 30; $VAR4 = '0.47784175485602';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.13 Test, Z-Score-Based Method
0.970588235294118
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.13 Test, Z-Score-Based Method
0.0913978494623656
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
0.913936867182847
testsize: 4066


Author Z-Score-Based P-Values
$VAR1 = '0.172098898211127'; $VAR2 = '0.136638858246316';
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 = '3.97030155344813e-56'; $VAR2 = '5.09860019087605e-07'; $VAR3 = '2.09234667841115e-297'; $VAR4 = '8.30430543861901e-270'; $VAR5 = '2.99446253110663e-51'; $VAR6 = '0.000216262992739575'; $VAR7 = '1.95753425367928e-18'; $VAR8 = '2.52841285255667e-17'; $VAR9 = '2.44922900271427e-06'; $VAR10 = '0.000168465229757884'; $VAR11 = '8.79242323633925e-05'; $VAR12 = '0.0212172200186566'; $VAR13 = '3.13214369280368e-20'; $VAR14 = '5.55957277393752e-05'; $VAR15 = '3.41399488772692e-08'; $VAR16 = '8.35098322557904e-12'; $VAR17 = '7.07311644319718e-06'; $VAR18 = '0.00344012750594888'; $VAR19 = '0.00031285631023709'; $VAR20 = '0.0051862566215488'; $VAR21 = '0.0084130870055145'; $VAR22 = '2.25477423154702e-05'; $VAR23 = '0.000456837021773744'; $VAR24 = '5.52738278607995e-07'; $VAR25 = '0.0414630747922861'; $VAR26 = '0.079027390360367'; $VAR27 = '0.00564670240032967'; $VAR28 = '0.00564995917970278'; $VAR29 = '0.00285172441137451'; $VAR30 = '0.0443050092779898'; $VAR31 = '0.0542447348546581';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.557427443231581'; $VAR2 = '0.44257255676842';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.685308173788151'; $VAR3 = 26; $VAR4 = '0.314691826211848';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.17 Test, Z-Score-Based Method
0.885714285714286
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.17 Test, Z-Score-Based Method
0.0855614973262032
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
0.911908132767028
testsize: 4085


Author Z-Score-Based P-Values
$VAR1 = '0.164024361799274'; $VAR2 = '0.118009963985462';
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 = '6.66435506200926e-39'; $VAR2 = '2.69476388246918e-08'; $VAR3 = '0'; $VAR4 = '9.88945429584175e-202'; $VAR5 = '1.87918673885799e-47'; $VAR6 = '8.68873242857896e-05'; $VAR7 = '2.59059597543698e-16'; $VAR8 = '1.97164525438647e-12'; $VAR9 = '8.72882250984217e-05'; $VAR10 = '0.00011606943776234'; $VAR11 = '0.00112792773525308'; $VAR12 = '0.00982932619282082'; $VAR13 = '8.32080745854887e-41'; $VAR14 = '9.74894054282644e-05'; $VAR15 = '5.67607324379549e-12'; $VAR16 = '4.32166941286483e-16'; $VAR17 = '1.00381950402691e-09'; $VAR18 = '0.0093433473666602'; $VAR19 = '2.00461730631635e-05'; $VAR20 = '0.00617191391316878'; $VAR21 = '0.00749407904723339'; $VAR22 = '1.76958066341363e-10'; $VAR23 = '0.00177468935152612'; $VAR24 = '2.27117637214871e-06'; $VAR25 = '0.0430804093309751'; $VAR26 = '0.0541572617063334'; $VAR27 = '0.00843129394299259'; $VAR28 = '0.0155091844459951'; $VAR29 = '0.00342771663809357'; $VAR30 = '0.0419757891642971'; $VAR31 = '0.0427102768672118';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.581575882094815'; $VAR2 = '0.418424117905185';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.751778995700151'; $VAR3 = 26; $VAR4 = '0.248221004299849';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.914285714285714
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.0855614973262032
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
0.914425427872861
testsize: 4112


Author Z-Score-Based P-Values
$VAR1 = '0.127575120155008'; $VAR2 = '0.0993191062714164';
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 = '7.04319386853904e-36'; $VAR2 = '9.08792636228469e-08'; $VAR3 = '0'; $VAR4 = '6.56211851095544e-224'; $VAR5 = '1.98633761171416e-69'; $VAR6 = '0.00110073345050412'; $VAR7 = '7.84421534605116e-16'; $VAR8 = '1.45995055347341e-14'; $VAR9 = '6.0628930059083e-05'; $VAR10 = '0.000172355306778637'; $VAR11 = '6.59241373416291e-05'; $VAR12 = '0.0134112338372907'; $VAR13 = '2.47412833703661e-54'; $VAR14 = '5.33850974038214e-06'; $VAR15 = '4.02755374358815e-11'; $VAR16 = '9.75876285748511e-15'; $VAR17 = '3.38634542463459e-08'; $VAR18 = '0.00150145338053212'; $VAR19 = '4.92692566143191e-06'; $VAR20 = '0.00260284365540915'; $VAR21 = '0.00514029248949921'; $VAR22 = '5.1233091633271e-08'; $VAR23 = '0.000378236780516812'; $VAR24 = '4.37769924999508e-07'; $VAR25 = '0.0499039423477547'; $VAR26 = '0.0450520430025294'; $VAR27 = '0.0113843088018837'; $VAR28 = '0.0402271212442636'; $VAR29 = '0.00198966020222656'; $VAR30 = '0.0811944839499926'; $VAR31 = '0.0951001522917324';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.56226693012119'; $VAR2 = '0.43773306987881';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.572920013763635'; $VAR3 = 31; $VAR4 = '0.427079986236365';

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
0.0962566844919786
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
0.91219512195122
testsize: 4074


Author Z-Score-Based P-Values
$VAR1 = '0.116284810639787'; $VAR2 = '0.0954685582046897';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '5.88736421078824e-81'; $VAR2 = '1.71065428159448e-07'; $VAR3 = '0'; $VAR4 = '2.92141123926242e-302'; $VAR5 = '2.02929828498401e-36'; $VAR6 = '0.000869528792186111'; $VAR7 = '4.84658151749189e-15'; $VAR8 = '5.52356389034857e-15'; $VAR9 = '0.000186165672722067'; $VAR10 = '0.000379346954418578'; $VAR11 = '0.000120012527453893'; $VAR12 = '0.0186440844355844'; $VAR13 = '2.92873745529828e-24'; $VAR14 = '4.37876875435971e-05'; $VAR15 = '1.71291869661091e-08'; $VAR16 = '4.89658293410554e-13'; $VAR17 = '9.59384925274212e-06'; $VAR18 = '0.00418872258700634'; $VAR19 = '0.000236747942341274'; $VAR20 = '0.0146374186925731'; $VAR21 = '0.00765441009964364'; $VAR22 = '2.16043951237978e-07'; $VAR23 = '0.00227349798884955'; $VAR24 = '1.17684530707236e-06'; $VAR25 = '0.0623923994755205'; $VAR26 = '0.03252963719165'; $VAR27 = '0.0248510120422628'; $VAR28 = '0.0171706304031718'; $VAR29 = '0.00156333610559173'; $VAR30 = '0.0866233369088536'; $VAR31 = '0.121819500023357';

Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.549152116324502'; $VAR2 = '0.450847883675498';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.488377595163744'; $VAR3 = 31; $VAR4 = '0.511622404836256';

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
0.101604278074866
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
0.907766990291262
testsize: 4131


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.574024034851909'; $VAR2 = '0.425975965148091';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.839817069877965'; $VAR3 = 31; $VAR4 = '0.160182930122036';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.971428571428571
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.0855614973262032
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
0.919051749060422

Author Z-Score-Based P-Values
$VAR1 = '0.152908125470042'; $VAR2 = '0.113471183036596';
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 = '4.16744579627415e-36'; $VAR2 = '5.61239130524277e-11'; $VAR3 = '0'; $VAR4 = '0'; $VAR5 = '1.94274860943711e-44'; $VAR6 = '0.000558500909176142'; $VAR7 = '1.24240026746385e-19'; $VAR8 = '6.46335907276689e-23'; $VAR9 = '9.21552758865243e-05'; $VAR10 = '1.48657050456591e-05'; $VAR11 = '0.000411401083305148'; $VAR12 = '0.0128526323843986'; $VAR13 = '2.26826475855648e-61'; $VAR14 = '1.59938332332203e-05'; $VAR15 = '2.61988366226806e-09'; $VAR16 = '3.20247141987632e-10'; $VAR17 = '7.59959917898547e-06'; $VAR18 = '0.00487841237172337'; $VAR19 = '1.44317010567651e-06'; $VAR20 = '0.000922381875109041'; $VAR21 = '0.00855752242097219'; $VAR22 = '7.43166774622644e-07'; $VAR23 = '0.00196629424297849'; $VAR24 = '2.63091046589019e-08'; $VAR25 = '0.0245245978175261'; $VAR26 = '0.0139096214922008'; $VAR27 = '0.00383978833350388'; $VAR28 = '0.0015112286856094'; $VAR29 = '0.00137467610012849'; $VAR30 = '0.0160288255691292'; $VAR31 = '0.0291650080187324';
testsize: 4043


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.541812155696337'; $VAR2 = '0.458187844303663';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.696532182073442'; $VAR3 = 26; $VAR4 = '0.303467817926558';

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
0.101604278074866
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
0.907766990291262

Author Z-Score-Based P-Values
$VAR1 = '0.114433712915001'; $VAR2 = '0.0967717975407972';
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 = '7.13590679313931e-61'; $VAR2 = '1.01777353849323e-08'; $VAR3 = '0'; $VAR4 = '5.10580928424539e-297'; $VAR5 = '3.15060824228368e-42'; $VAR6 = '5.96468802587558e-05'; $VAR7 = '3.76134158704463e-21'; $VAR8 = '5.76174720911538e-13'; $VAR9 = '0.000256088408752061'; $VAR10 = '0.000414094308388652'; $VAR11 = '0.00396509004544522'; $VAR12 = '0.0186324070083372'; $VAR13 = '2.35572393998703e-23'; $VAR14 = '0.000308769030987824'; $VAR15 = '1.88985031147953e-08'; $VAR16 = '1.94307598843511e-09'; $VAR17 = '7.1738039352998e-05'; $VAR18 = '0.0153411580031364'; $VAR19 = '4.14307551505512e-05'; $VAR20 = '0.0103524635209734'; $VAR21 = '0.0118389062906022'; $VAR22 = '3.33822673652844e-06'; $VAR23 = '0.00290609777029668'; $VAR24 = '1.24881916903834e-05'; $VAR25 = '0.0303767387341483'; $VAR26 = '0.0498569198226766'; $VAR27 = '0.012720624621298'; $VAR28 = '0.00623128356356417'; $VAR29 = '0.00318705675597453'; $VAR30 = '0.0213107555996292'; $VAR31 = '0.0430406330248221';
testsize: 4023


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.540925265959051'; $VAR2 = '0.459074734040949';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.694027094407025'; $VAR3 = 31; $VAR4 = '0.305972905592975';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.13 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.13 Test, Z-Score-Based Method
0.0904255319148936
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
0.917073170731707

Author Z-Score-Based P-Values
$VAR1 = '0.130044720405622'; $VAR2 = '0.110366901290501';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '9.31312858574471e-50'; $VAR2 = '8.52519017146529e-10'; $VAR3 = '0'; $VAR4 = '4.16391651453561e-238'; $VAR5 = '3.11672194820969e-47'; $VAR6 = '0.0002513759718013'; $VAR7 = '5.17494123876748e-20'; $VAR8 = '5.55632188207308e-17'; $VAR9 = '4.555853611904e-05'; $VAR10 = '6.69397853956468e-05'; $VAR11 = '0.0014394466904328'; $VAR12 = '0.0166387980255304'; $VAR13 = '1.86608809055598e-26'; $VAR14 = '3.11921484040985e-05'; $VAR15 = '3.96750572663486e-09'; $VAR16 = '1.94477837511367e-12'; $VAR17 = '1.86238229039855e-05'; $VAR18 = '0.0106650908933588'; $VAR19 = '4.46012801464952e-05'; $VAR20 = '0.00800266935756364'; $VAR21 = '0.0251243356166211'; $VAR22 = '6.09766769656861e-06'; $VAR23 = '0.00124034996360159'; $VAR24 = '1.17045561726507e-06'; $VAR25 = '0.0282152006622753'; $VAR26 = '0.0278707722788385'; $VAR27 = '0.00707731424627125'; $VAR28 = '0.0154478635462732'; $VAR29 = '0.00272622821751113'; $VAR30 = '0.02638892531493'; $VAR31 = '0.057332287572333';
testsize: 4101


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.540572950588307'; $VAR2 = '0.459427049411692';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.674950145235294'; $VAR3 = 25; $VAR4 = '0.325049854764706';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.971428571428571
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.15 Test, Z-Score-Based Method
0.0909090909090909
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
0.914425427872861

Author Z-Score-Based P-Values
$VAR1 = '0.155521978966634'; $VAR2 = '0.132176432131034';
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 = '7.60264727763552e-37'; $VAR2 = '1.92355115845899e-08'; $VAR3 = '0'; $VAR4 = '4.37032732456769e-302'; $VAR5 = '6.60931824121496e-63'; $VAR6 = '0.00302892578405337'; $VAR7 = '8.89860563080816e-15'; $VAR8 = '2.26400188678183e-13'; $VAR9 = '0.000183195390409079'; $VAR10 = '0.00061887636321231'; $VAR11 = '0.000914306380846682'; $VAR12 = '0.0293844760641724'; $VAR13 = '7.50130883740088e-49'; $VAR14 = '8.33683286837405e-05'; $VAR15 = '6.64816925721392e-10'; $VAR16 = '3.17355446627238e-12'; $VAR17 = '4.35498787014698e-06'; $VAR18 = '0.00717933356739976'; $VAR19 = '1.6652586895227e-06'; $VAR20 = '0.00796208656530444'; $VAR21 = '0.00500957010228816'; $VAR22 = '4.64603911673658e-07'; $VAR23 = '0.00136274358457188'; $VAR24 = '5.7437040557898e-06'; $VAR25 = '0.0748979714023191'; $VAR26 = '0.0452753898422916'; $VAR27 = '0.0187197348734452'; $VAR28 = '0.032860868780667'; $VAR29 = '0.00442861518631257'; $VAR30 = '0.0551584234667945'; $VAR31 = '0.0713802133954897';
testsize: 4007


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.503694032896131'; $VAR2 = '0.496305967103869';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.724738628999887'; $VAR3 = 26; $VAR4 = '0.275261371000113';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.916666666666667
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.0846560846560847
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
0.915455746367239

Author Z-Score-Based P-Values
$VAR1 = '0.16621218326742'; $VAR2 = '0.16377422199479';
Good compatibility. Z-Score-Based P-Value > 0.15.
Great indicator. 3.1% of the rest have P-Value > 0.15.

Control Z-Score-Based P-Values
$VAR1 = '8.0283866497537e-58'; $VAR2 = '3.08188612257009e-07'; $VAR3 = '0'; $VAR4 = '1.23473289378673e-298'; $VAR5 = '4.69551334104287e-48'; $VAR6 = '0.00616563714602859'; $VAR7 = '1.66176262975309e-16'; $VAR8 = '3.93398427106128e-12'; $VAR9 = '5.92701258101405e-05'; $VAR10 = '0.000441157658126225'; $VAR11 = '0.0012175550751555'; $VAR12 = '0.0427545602872037'; $VAR13 = '3.10842948933028e-11'; $VAR14 = '0.000319767060910279'; $VAR15 = '1.66397019314688e-07'; $VAR16 = '2.00601722532191e-11'; $VAR17 = '4.39158194588477e-05'; $VAR18 = '0.00816921311292327'; $VAR19 = '0.00111148969165888'; $VAR20 = '0.0103443261973484'; $VAR21 = '0.0302386895116709'; $VAR22 = '9.2265165238803e-06'; $VAR23 = '0.00251185408484568'; $VAR24 = '8.47883268110766e-07'; $VAR25 = '0.0490481651154906'; $VAR26 = '0.0631286806200021'; $VAR27 = '0.00288642929161149'; $VAR28 = '0.0157322883285579'; $VAR29 = '0.00550789271169702'; $VAR30 = '0.0430835246324034'; $VAR31 = '0.0627777876538649';
testsize: 3826


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.573595839188122'; $VAR2 = '0.426404160811878';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.579248702588247'; $VAR3 = 12; $VAR4 = '0.420751297411753';

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
0.115
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
0.896860986547085

Author Z-Score-Based P-Values
$VAR1 = '0.119981257281813'; $VAR2 = '0.0891926053662086';
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 = '3.08965089973805e-76'; $VAR2 = '4.82681953675001e-10'; $VAR3 = '0'; $VAR4 = '1.18480572328379e-275'; $VAR5 = '1.95378398698253e-49'; $VAR6 = '0.0140671614816396'; $VAR7 = '4.34885016257447e-16'; $VAR8 = '0.000350979709008309'; $VAR9 = '0.00418954645978254'; $VAR10 = '0.014654819220659'; $VAR11 = '0.00647511229498901'; $VAR12 = '0.0871512865559249'; $VAR13 = '3.23511014576079e-11'; $VAR14 = '0.000522682865586389'; $VAR15 = '3.28560554457497e-08'; $VAR16 = '8.93619713999703e-09'; $VAR17 = '0.00025014407151892'; $VAR18 = '0.0199650905335491'; $VAR19 = '5.76783549028994e-06'; $VAR20 = '0.00749559267658672'; $VAR21 = '0.0301046425102115'; $VAR22 = '2.26469316532751e-07'; $VAR23 = '0.00986457548129586'; $VAR24 = '0.00011367925313049'; $VAR25 = '0.044232602012985'; $VAR26 = '0.0239127141453424'; $VAR27 = '0.0192187177496278'; $VAR28 = '0.0234571958449854'; $VAR29 = '0.000256319362268614'; $VAR30 = '0.0474579384286969'; $VAR31 = '0.0371823087976919';
testsize: 3801


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.537631862349672'; $VAR2 = '0.462368137650328';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.603134427081394'; $VAR3 = 25; $VAR4 = '0.396865572918606';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0905 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0905 Test, Z-Score-Based Method
0.143564356435644
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
0.874458874458874

Author Z-Score-Based P-Values
$VAR1 = '0.0905790278773937'; $VAR2 = '0.0778987618903595';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Decent indicator. 12.5% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '3.5192451034199e-79'; $VAR2 = '4.22271313707396e-09'; $VAR3 = '0'; $VAR4 = '3.11969435221145e-304'; $VAR5 = '6.28082999214727e-46'; $VAR6 = '0.0117328238441632'; $VAR7 = '6.09730854499265e-12'; $VAR8 = '0.00239627495754517'; $VAR9 = '0.0149985375573979'; $VAR10 = '0.0106651995310269'; $VAR11 = '0.0173729927040757'; $VAR12 = '0.0401319872182809'; $VAR13 = '9.55970417120138e-09'; $VAR14 = '0.00411544670173025'; $VAR15 = '1.96009518720198e-06'; $VAR16 = '5.54642045346719e-09'; $VAR17 = '0.000467400944595659'; $VAR18 = '0.042096709022781'; $VAR19 = '1.5288203924886e-05'; $VAR20 = '0.00694462779997142'; $VAR21 = '0.0351640287394721'; $VAR22 = '4.44726186358702e-07'; $VAR23 = '0.00840293751381731'; $VAR24 = '0.000598241642190568'; $VAR25 = '0.059601468891314'; $VAR26 = '0.0369281564844181'; $VAR27 = '0.0147729568030272'; $VAR28 = '0.0272540049345505'; $VAR29 = '0.000788522180550946'; $VAR30 = '0.0585393440687172'; $VAR31 = '0.0559792562338099';
testsize: 3865


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.560910388430801'; $VAR2 = '0.439089611569199';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.781367240144735'; $VAR3 = 21; $VAR4 = '0.218632759855265';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.675675675675676
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Z-Score-Based Method
0.065989847715736
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
0.9110247872734

Author Z-Score-Based P-Values
$VAR1 = '0.200595738758826'; $VAR2 = '0.157029548446162';
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 = '1.06569278339721e-36'; $VAR2 = '4.81572541441863e-09'; $VAR3 = '0'; $VAR4 = '4.32861840317502e-225'; $VAR5 = '7.2666679171305e-59'; $VAR6 = '0.00742565275537065'; $VAR7 = '6.82327745385249e-16'; $VAR8 = '6.93983071534971e-08'; $VAR9 = '6.27612942820169e-05'; $VAR10 = '0.000888411496830715'; $VAR11 = '0.000397789066906443'; $VAR12 = '0.0317546864123089'; $VAR13 = '1.06247536944208e-18'; $VAR14 = '0.000256351966429853'; $VAR15 = '5.20505812667668e-07'; $VAR16 = '2.8162814327889e-11'; $VAR17 = '0.000518027568134459'; $VAR18 = '0.0105939230709948'; $VAR19 = '5.02921099428448e-05'; $VAR20 = '0.00275660587642597'; $VAR21 = '0.0561282809501'; $VAR22 = '1.06427502566964e-05'; $VAR23 = '0.00518384079384318'; $VAR24 = '2.30536129914568e-05'; $VAR25 = '0.0393032151960604'; $VAR26 = '0.0519238293083866'; $VAR27 = '0.0105719866965854'; $VAR28 = '0.0239809556842952'; $VAR29 = '0.000924981687733391'; $VAR30 = '0.0229190213791617'; $VAR31 = '0.054288987562036';
testsize: 3898


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.617206526259572'; $VAR2 = '0.382793473740428';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.687858431991678'; $VAR3 = 25; $VAR4 = '0.312141568008322';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0959 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0959 Test, Z-Score-Based Method
0.148717948717949
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
0.870535714285714

Author Z-Score-Based P-Values
$VAR1 = '0.0959922930858341'; $VAR2 = '0.0595347290724891';
Decent compatibility. Z-Score-Based P-Value > 0.05.
Great indicator. 3.1% of the rest have P-Value > 0.05.

Control Z-Score-Based P-Values
$VAR1 = '2.67761213145846e-26'; $VAR2 = '4.60915922782217e-13'; $VAR3 = '0'; $VAR4 = '2.77671645696743e-298'; $VAR5 = '8.32136232778236e-39'; $VAR6 = '0.00338608063913849'; $VAR7 = '2.61771087837192e-13'; $VAR8 = '8.43881523841751e-05'; $VAR9 = '0.000533442911478263'; $VAR10 = '0.00227119246766799'; $VAR11 = '0.00458031511625248'; $VAR12 = '0.0153593782730191'; $VAR13 = '1.23912533675401e-40'; $VAR14 = '0.00179736203494086'; $VAR15 = '3.1767512700416e-09'; $VAR16 = '6.8426087864897e-11'; $VAR17 = '8.38081658645515e-06'; $VAR18 = '0.013623603320552'; $VAR19 = '2.20284284437e-05'; $VAR20 = '0.000717773072662434'; $VAR21 = '0.0188824177629676'; $VAR22 = '6.04748895563417e-09'; $VAR23 = '0.00560712309813736'; $VAR24 = '0.000159566099630005'; $VAR25 = '0.0435601040664269'; $VAR26 = '0.0267822658285119'; $VAR27 = '0.00474389356106834'; $VAR28 = '0.0244406087490981'; $VAR29 = '0.000785085317078709'; $VAR30 = '0.0343094437223089'; $VAR31 = '0.0375848821486749';
testsize: 3946


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.612157915837134'; $VAR2 = '0.387842084162866';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.568969224268135'; $VAR3 = 26; $VAR4 = '0.431030775731865';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.14 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.14 Test, Z-Score-Based Method
0.0880829015544041
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
0.919047619047619

Author Z-Score-Based P-Values
$VAR1 = '0.141508138353715'; $VAR2 = '0.0896546624412411';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '1.14785490626626e-20'; $VAR2 = '3.33172904932177e-08'; $VAR3 = '0'; $VAR4 = '1.61526639875024e-216'; $VAR5 = '3.69845635622924e-31'; $VAR6 = '0.00556404066449766'; $VAR7 = '1.68451468340298e-11'; $VAR8 = '3.84131386458369e-05'; $VAR9 = '7.61376056755926e-05'; $VAR10 = '0.000568718668243019'; $VAR11 = '0.00466931739758386'; $VAR12 = '0.0144276845762559'; $VAR13 = '3.12372760782753e-33'; $VAR14 = '0.00065817269096714'; $VAR15 = '6.36542871683979e-09'; $VAR16 = '1.04309114294921e-10'; $VAR17 = '6.44554189244705e-06'; $VAR18 = '0.0229807070951878'; $VAR19 = '7.64434301024418e-05'; $VAR20 = '0.00475600538532201'; $VAR21 = '0.0380487226275603'; $VAR22 = '8.23767730423081e-08'; $VAR23 = '0.0199497955860312'; $VAR24 = '0.00030130168224654'; $VAR25 = '0.075526777718513'; $VAR26 = '0.107201514678462'; $VAR27 = '0.0172176470606895'; $VAR28 = '0.0506472076733189'; $VAR29 = '0.0103066011276434'; $VAR30 = '0.0187959243477473'; $VAR31 = '0.066331238494637';
testsize: 3965


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.519027285170483'; $VAR2 = '0.480972714829517';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.67258451615788'; $VAR3 = 31; $VAR4 = '0.32741548384212';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.14 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.14 Test, Z-Score-Based Method
0.0880829015544041
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
0.919047619047619

Author Z-Score-Based P-Values
$VAR1 = '0.14084547829683'; $VAR2 = '0.130518826280273';
Good compatibility. Z-Score-Based P-Value > 0.1.
Great indicator. 3.1% of the rest have P-Value > 0.1.

Control Z-Score-Based P-Values
$VAR1 = '6.92979539604488e-43'; $VAR2 = '1.70222561556088e-10'; $VAR3 = '0'; $VAR4 = '0'; $VAR5 = '1.72742687207777e-46'; $VAR6 = '0.00228862874446541'; $VAR7 = '8.2587793116776e-19'; $VAR8 = '6.37396874659438e-07'; $VAR9 = '0.000165141130764731'; $VAR10 = '0.000526490225762499'; $VAR11 = '0.00162864467992924'; $VAR12 = '0.046526972306037'; $VAR13 = '3.453076695658e-18'; $VAR14 = '0.000402915013351109'; $VAR15 = '3.95255124669998e-06'; $VAR16 = '5.6906627685735e-10'; $VAR17 = '0.000155749134086514'; $VAR18 = '0.00964318014896686'; $VAR19 = '1.54762688238361e-05'; $VAR20 = '0.0112763956992369'; $VAR21 = '0.0283459400567522'; $VAR22 = '2.75619832553646e-05'; $VAR23 = '0.00386794631332785'; $VAR24 = '6.57926907529223e-07'; $VAR25 = '0.0300406583256658'; $VAR26 = '0.0257192971889752'; $VAR27 = '0.0122813573949486'; $VAR28 = '0.0294315378450819'; $VAR29 = '0.00394756207680369'; $VAR30 = '0.0256784212276239'; $VAR31 = '0.0685638597316543';
testsize: 3875


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.619953631185929'; $VAR2 = '0.380046368814071';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.765138459019241'; $VAR3 = 26; $VAR4 = '0.234861540980759';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.945945945945946
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.0816326530612245
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
0.920558239398819

Author Z-Score-Based P-Values
$VAR1 = '0.163573116258719'; $VAR2 = '0.100274223333139';
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 = '7.50147273692292e-37'; $VAR2 = '1.42610414424156e-13'; $VAR3 = '0'; $VAR4 = '1.95663092828138e-272'; $VAR5 = '2.43342696882537e-59'; $VAR6 = '0.00154755400570281'; $VAR7 = '1.71624227339586e-15'; $VAR8 = '2.73591818141003e-07'; $VAR9 = '9.42549821820819e-07'; $VAR10 = '0.000183575378525097'; $VAR11 = '0.000335637365181879'; $VAR12 = '0.0111059467578572'; $VAR13 = '1.06676454275938e-21'; $VAR14 = '1.99320449209134e-05'; $VAR15 = '5.12130040477525e-11'; $VAR16 = '3.08583794147877e-12'; $VAR17 = '3.45115699731088e-05'; $VAR18 = '0.00622138587495522'; $VAR19 = '3.93594639412494e-06'; $VAR20 = '0.000705555517327311'; $VAR21 = '0.0214376234626101'; $VAR22 = '3.488559553157e-08'; $VAR23 = '0.00191668814617018'; $VAR24 = '5.79608443696277e-06'; $VAR25 = '0.0253607402549291'; $VAR26 = '0.050209257807784'; $VAR27 = '0.00515069573133605'; $VAR28 = '0.0218493182746569'; $VAR29 = '0.000221369818438368'; $VAR30 = '0.0149511058850362'; $VAR31 = '0.0293771207513119';
testsize: 3826


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.579491570715248'; $VAR2 = '0.420508429284752';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.729627482806738'; $VAR3 = 25; $VAR4 = '0.270372517193262';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.918918918918919
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.08
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
0.91991341991342

Author Z-Score-Based P-Values
$VAR1 = '0.162537640339632'; $VAR2 = '0.117945542770378';
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 = '5.97170152056112e-82'; $VAR2 = '1.12552976156336e-07'; $VAR3 = '0'; $VAR4 = '3.6405774376429e-249'; $VAR5 = '3.33354515941453e-38'; $VAR6 = '0.00675779129656743'; $VAR7 = '1.47063336186945e-14'; $VAR8 = '4.35695093713044e-06'; $VAR9 = '0.00023781681337918'; $VAR10 = '0.00163326875383035'; $VAR11 = '0.00388290636579812'; $VAR12 = '0.0345502615240794'; $VAR13 = '2.49119184347979e-15'; $VAR14 = '0.000168098899172336'; $VAR15 = '1.73969030117203e-09'; $VAR16 = '2.79306116001938e-10'; $VAR17 = '0.000109088312141283'; $VAR18 = '0.022698020075109'; $VAR19 = '0.000181551884506362'; $VAR20 = '0.00236571770355046'; $VAR21 = '0.0250799500848505'; $VAR22 = '4.93216782982686e-08'; $VAR23 = '0.00538837298886318'; $VAR24 = '8.26357495114367e-05'; $VAR25 = '0.0602303394442167'; $VAR26 = '0.0426081618829683'; $VAR27 = '0.021612101910982'; $VAR28 = '0.0246758142495186'; $VAR29 = '0.000504454144441233'; $VAR30 = '0.0580042895734655'; $VAR31 = '0.0579153273637644';
testsize: 4054


Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.544347016071591'; $VAR2 = '0.455652983928409';

Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.675352411241336'; $VAR3 = 31; $VAR4 = '0.324647588758664';

Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.942857142857143
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.16 Test, Z-Score-Based Method
0.0802139037433155
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
0.921594982078853

Author Z-Score-Based P-Values
$VAR1 = '0.16259343447789'; $VAR2 = '0.136101019018492';
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 = '3.28945161445955e-81'; $VAR2 = '1.07035044439539e-08'; $VAR3 = '0'; $VAR4 = '0'; $VAR5 = '3.84135389207342e-47'; $VAR6 = '0.000132178316073459'; $VAR7 = '6.88593164870528e-19'; $VAR8 = '4.57838545608219e-20'; $VAR9 = '5.83076920508377e-05'; $VAR10 = '0.000196201627782782'; $VAR11 = '0.000115235866934483'; $VAR12 = '0.0126338991263207'; $VAR13 = '1.35930995948914e-20'; $VAR14 = '1.30051512412026e-05'; $VAR15 = '3.03424554623696e-08'; $VAR16 = '1.47530397122129e-12'; $VAR17 = '0.000102416173096933'; $VAR18 = '0.000501710485918379'; $VAR19 = '7.87359028841257e-05'; $VAR20 = '0.00271076906554444'; $VAR21 = '0.00423624339470283'; $VAR22 = '9.54106573964045e-06'; $VAR23 = '0.00023625297822621'; $VAR24 = '3.93205384606027e-08'; $VAR25 = '0.0294461253367742'; $VAR26 = '0.0405493860659345'; $VAR27 = '0.0135773167354483'; $VAR28 = '0.0174209471055422'; $VAR29 = '0.00211941533324574'; $VAR30 = '0.0179995261050013'; $VAR31 = '0.0781600325587262';
"... 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 » Fri Jun 05, 2015 5:38 pm

I have streamlined the order and amount of information printed out a bit more (again).

The sample size, the comparison of the author candidates, and the comparison of the best author candidate to the best control candidate are now easily visible at the top.

This is followed by the two other tests/indicators of 'general reliability' and/or 'non-relative compatibility', shown afterward.

The control Z-scores-based p-values bring up the rear.
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown

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