Re: Origen -- A Basic Stylometric Study
Posted: 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