Here are the six results using samples from the 'Protrepticus'.
Sample 1 - 'Protrepticus'
testsize: 3488
$VAR1 = 35; $VAR2 = 19; $VAR3 = 71; $VAR4 = 205; $VAR5 = 12; $VAR6 = 100; $VAR7 = 26; $VAR8 = 11; $VAR9 = 22; $VAR10 = 25; $VAR11 = 22; $VAR12 = 14; $VAR13 = 7; $VAR14 = 4; $VAR15 = 12; $VAR16 = 5; $VAR17 = 7; $VAR18 = 5; $VAR19 = 4; $VAR20 = 4; $VAR21 = 11; $VAR22 = 14;
22 Words
$VAR1 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR2 = [ 'TIS', 'TINOS', 'TINI', 'TINA', 'TINES', 'TINWN', 'TISI', 'TISIN', 'TINAS', 'TI', 'TINA' ]; $VAR3 = [ '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' ]; $VAR4 = [ 'KAI' ]; $VAR5 = [ 'TE' ]; $VAR6 = [ 'DE', 'D' ]; $VAR7 = [ 'MEN' ]; $VAR8 = [ 'ALLA', 'ALL' ]; $VAR9 = [ 'GAR' ]; $VAR10 = [ 'EIS' ]; $VAR11 = [ 'EN' ]; $VAR12 = [ 'EK', 'EC' ]; $VAR13 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR14 = [ 'PROS' ]; $VAR15 = [ 'OUN' ]; $VAR16 = [ 'INA' ]; $VAR17 = [ 'OTI' ]; $VAR18 = [ 'APO', 'AP' ]; $VAR19 = [ 'PERI' ]; $VAR20 = [ 'POLUS', 'POLLOU', 'POLLWi', 'POLUN', 'POLLH', 'POLLHS', 'POLLHi', 'POLLHN', 'POLU', 'POLLOU', 'POLLWi', 'POLU', 'POLLOI', 'POLLWN', 'POLLOIS', 'POLLOUS', 'POLLAI', 'POLLWN', 'POLLAIS', 'POLLAS', 'POLLA', 'POLLWN', 'POLLOIS', 'POLLA' ]; $VAR21 = [ 'PAS', 'PANTOS', 'PANTI', 'PANTA', 'PAS', 'PASA', 'PASHS', 'PASHi', 'PASAN', 'PASA', 'PAN', 'PANTOS', 'PANTI', 'PAN', 'PANTES', 'PANTWN', 'PASI', 'PASIN', 'PANTAS', 'PANTES', 'PASAI', 'PASWN', 'PASAIS', 'PASAS', 'PASAI', 'PANTA', 'PANTWN' ]; $VAR22 = [ 'EPI', 'EP' ];
Author Z-Score-Based P-Values
$VAR1 = '0.195551922755703'; $VAR2 = '0.00202280202113641'; $VAR3 = '0.0423876169133424';
Excellent match. Z-Score-Based P-Value > 0.10.
Control Z-Score-Based P-Values
$VAR1 = '0.0151281486863678'; $VAR2 = '0.0145042281588148'; $VAR3 = '0.0675915655426189'; $VAR4 = '0.10823097259525'; $VAR5 = '0.0542476670111339'; $VAR6 = '3.91843352799618e-11'; $VAR7 = '9.14696348750138e-08'; $VAR8 = '0'; $VAR9 = '3.79432951525788e-263'; $VAR10 = '1.22150091149652e-77'; $VAR11 = '0.0252284045646925'; $VAR12 = '3.65771346263625e-14'; $VAR13 = '0.000246255687234505'; $VAR14 = '0.0101186704442395'; $VAR15 = '0.0147908801718385'; $VAR16 = '0.0158742264951668'; $VAR17 = '0.0419358671308489'; $VAR18 = '0.000278580342514353'; $VAR19 = '0.00338964000352063'; $VAR20 = '1.78143710934996e-06'; $VAR21 = '8.41378941980205e-06'; $VAR22 = '0.000465591994604541'; $VAR23 = '0.0275793437846606'; $VAR24 = '9.65339935045629e-06'; $VAR25 = '0.00575164447369743'; $VAR26 = '0.0190793430049276'; $VAR27 = '3.18806758272083e-05'; $VAR28 = '0.0212428349408546'; $VAR29 = '0.0206026284188241';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.814927548124124'; $VAR2 = '0.00842966445021641'; $VAR3 = '0.17664278742566';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.643722624770518'; $VAR3 = 4; $VAR4 = '0.356277375229482';
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
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1
Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1
Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 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
Author Chi-Square-Based P-Values
$VAR1 = '0.995559285217461'; $VAR2 = '0.108029521304611'; $VAR3 = '0.0624956100367143';
Control Chi-Square-Based P-Values
$VAR1 = '3.89062703020665e-05'; $VAR2 = '0.000453085062541578'; $VAR3 = '0.700954948159321'; $VAR4 = '0.99408250472263'; $VAR5 = '0.999332763583343'; $VAR6 = 0; $VAR7 = 0; $VAR8 = 0; $VAR9 = 0; $VAR10 = 0; $VAR11 = '2.54746691859661e-05'; $VAR12 = 0; $VAR13 = 0; $VAR14 = '3.31522753727369e-07'; $VAR15 = '0.427464360992527'; $VAR16 = '0.233321503917167'; $VAR17 = '0.793559857009335'; $VAR18 = '8.47050414335915e-12'; $VAR19 = '3.66007564497292e-13'; $VAR20 = '3.97556652073843e-14'; $VAR21 = 0; $VAR22 = 0; $VAR23 = '0.984493474576463'; $VAR24 = '9.03633828987819e-13'; $VAR25 = '0.999961555453993'; $VAR26 = '1.32581965682582e-09'; $VAR27 = 0; $VAR28 = '0.749871738608557'; $VAR29 = '0.0306898126726929';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Chi-Square-Based Method
$VAR1 = '0.853762618795164'; $VAR2 = '0.09264296801377'; $VAR3 = '0.0535944131910657';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Chi-Square-Based Method
$VAR1 = 1; $VAR2 = '0.498896962099616'; $VAR3 = 25; $VAR4 = '0.501103037900384';
Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.7 Test, Chi-Square-Based Method
0.230769230769231
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.7 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Chi-Square-Based Method
1
Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.7 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Chi-Square-Based Method
1
Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.7 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Chi-Square-Based Method
1
Sample 2 - 'Protrepticus'
testsize: 3358
$VAR1 = 48; $VAR2 = 23; $VAR3 = 56; $VAR4 = 213; $VAR5 = 17; $VAR6 = 141; $VAR7 = 34; $VAR8 = 15; $VAR9 = 21; $VAR10 = 9; $VAR11 = 36; $VAR12 = 9; $VAR13 = 10; $VAR14 = 11; $VAR15 = 12; $VAR16 = 2; $VAR17 = 0; $VAR18 = 5; $VAR19 = 8; $VAR20 = 8; $VAR21 = 7; $VAR22 = 25;
22 Words
$VAR1 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR2 = [ 'TIS', 'TINOS', 'TINI', 'TINA', 'TINES', 'TINWN', 'TISI', 'TISIN', 'TINAS', 'TI', 'TINA' ]; $VAR3 = [ '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' ]; $VAR4 = [ 'KAI' ]; $VAR5 = [ 'TE' ]; $VAR6 = [ 'DE', 'D' ]; $VAR7 = [ 'MEN' ]; $VAR8 = [ 'ALLA', 'ALL' ]; $VAR9 = [ 'GAR' ]; $VAR10 = [ 'EIS' ]; $VAR11 = [ 'EN' ]; $VAR12 = [ 'EK', 'EC' ]; $VAR13 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR14 = [ 'PROS' ]; $VAR15 = [ 'OUN' ]; $VAR16 = [ 'INA' ]; $VAR17 = [ 'OTI' ]; $VAR18 = [ 'APO', 'AP' ]; $VAR19 = [ 'PERI' ]; $VAR20 = [ 'POLUS', 'POLLOU', 'POLLWi', 'POLUN', 'POLLH', 'POLLHS', 'POLLHi', 'POLLHN', 'POLU', 'POLLOU', 'POLLWi', 'POLU', 'POLLOI', 'POLLWN', 'POLLOIS', 'POLLOUS', 'POLLAI', 'POLLWN', 'POLLAIS', 'POLLAS', 'POLLA', 'POLLWN', 'POLLOIS', 'POLLA' ]; $VAR21 = [ 'PAS', 'PANTOS', 'PANTI', 'PANTA', 'PAS', 'PASA', 'PASHS', 'PASHi', 'PASAN', 'PASA', 'PAN', 'PANTOS', 'PANTI', 'PAN', 'PANTES', 'PANTWN', 'PASI', 'PASIN', 'PANTAS', 'PANTES', 'PASAI', 'PASWN', 'PASAIS', 'PASAS', 'PASAI', 'PANTA', 'PANTWN' ]; $VAR22 = [ 'EPI', 'EP' ];
Author Z-Score-Based P-Values
$VAR1 = '0.0983506865468302'; $VAR2 = '0.00567109389787289'; $VAR3 = '0.0817711666373299';
Good match. Z-Score-Based P-Value > 0.05.
Control Z-Score-Based P-Values
$VAR1 = '0.0372455400547908'; $VAR2 = '0.00589332052878464'; $VAR3 = '0.0408691380122363'; $VAR4 = '0.0383360758610487'; $VAR5 = '0.0060138577261958'; $VAR6 = '6.51336980537479e-14'; $VAR7 = '8.70206837740581e-13'; $VAR8 = '1.53258497906415e-23'; $VAR9 = '0'; $VAR10 = '6.48984227753807e-74'; $VAR11 = '0.00261167512997654'; $VAR12 = '3.43934610828377e-20'; $VAR13 = '0.00204033338640978'; $VAR14 = '0.0220894974368376'; $VAR15 = '0.0206442236226216'; $VAR16 = '0.0372029704575276'; $VAR17 = '0.0657865549817408'; $VAR18 = '0.0236105699002196'; $VAR19 = '0.0117761733612931'; $VAR20 = '0.00200020409940319'; $VAR21 = '0.0021222451182589'; $VAR22 = '0.0195144770101537'; $VAR23 = '0.0809187710190425'; $VAR24 = '4.25518914319368e-14'; $VAR25 = '0.000699200138504399'; $VAR26 = '0.0125291341886085'; $VAR27 = '0.0132372999665358'; $VAR28 = '0.00854336260042781'; $VAR29 = '0.0115133940345381';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.529356405027611'; $VAR2 = '0.0305237307817123'; $VAR3 = '0.440119864190677';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.548619312415173'; $VAR3 = 23; $VAR4 = '0.451380687584827';
Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0983 Test, Z-Score-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0983 Test, Z-Score-Based Method
0.00495049504950495
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
0.995073891625616
Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0983 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1
Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0983 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
Author Chi-Square-Based P-Values
$VAR1 = '0.0308395015917966'; $VAR2 = '4.27008831394496e-11'; $VAR3 = '0.376839561067125';
Control Chi-Square-Based P-Values
$VAR1 = '0.0268705287362732'; $VAR2 = '8.78103076452334e-23'; $VAR3 = '8.62302348178258e-06'; $VAR4 = '0.000279445561044455'; $VAR5 = '5.55241999143426e-05'; $VAR6 = 0; $VAR7 = 0; $VAR8 = 0; $VAR9 = 0; $VAR10 = 0; $VAR11 = '8.25864005413125e-37'; $VAR12 = 0; $VAR13 = '2.21512349537211e-09'; $VAR14 = '0.0426011702299659'; $VAR15 = '0.00757888612000238'; $VAR16 = '0.450364948441279'; $VAR17 = '0.989275442076037'; $VAR18 = '0.180185818208162'; $VAR19 = '4.69522145964403e-08'; $VAR20 = 0; $VAR21 = 0; $VAR22 = '2.1955394498196e-21'; $VAR23 = '0.982278045715435'; $VAR24 = '4.41863218446475e-11'; $VAR25 = '2.08171392882311e-25'; $VAR26 = '1.33536531974071e-23'; $VAR27 = '1.16013770154567e-23'; $VAR28 = '1.31805969390797e-06'; $VAR29 = '3.17918500658863e-18';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Chi-Square-Based Method
$VAR1 = '0.0756465180905496'; $VAR2 = '1.04741418056836e-10'; $VAR3 = '0.924353481804709';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Chi-Square-Based Method
$VAR1 = 3; $VAR2 = '0.275847611804344'; $VAR3 = 17; $VAR4 = '0.724152388195656';
Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.3 Test, Chi-Square-Based Method
0.625
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.3 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Chi-Square-Based Method
1
Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.3 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Chi-Square-Based Method
1
Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.3 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Chi-Square-Based Method
1
Sample 3 - Protrepticus
testsize: 3311
$VAR1 = 46; $VAR2 = 34; $VAR3 = 91; $VAR4 = 161; $VAR5 = 14; $VAR6 = 100; $VAR7 = 29; $VAR8 = 22; $VAR9 = 23; $VAR10 = 9; $VAR11 = 64; $VAR12 = 12; $VAR13 = 8; $VAR14 = 14; $VAR15 = 11; $VAR16 = 1; $VAR17 = 3; $VAR18 = 4; $VAR19 = 7; $VAR20 = 5; $VAR21 = 8; $VAR22 = 12;
22 Words
$VAR1 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR2 = [ 'TIS', 'TINOS', 'TINI', 'TINA', 'TINES', 'TINWN', 'TISI', 'TISIN', 'TINAS', 'TI', 'TINA' ]; $VAR3 = [ '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' ]; $VAR4 = [ 'KAI' ]; $VAR5 = [ 'TE' ]; $VAR6 = [ 'DE', 'D' ]; $VAR7 = [ 'MEN' ]; $VAR8 = [ 'ALLA', 'ALL' ]; $VAR9 = [ 'GAR' ]; $VAR10 = [ 'EIS' ]; $VAR11 = [ 'EN' ]; $VAR12 = [ 'EK', 'EC' ]; $VAR13 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR14 = [ 'PROS' ]; $VAR15 = [ 'OUN' ]; $VAR16 = [ 'INA' ]; $VAR17 = [ 'OTI' ]; $VAR18 = [ 'APO', 'AP' ]; $VAR19 = [ 'PERI' ]; $VAR20 = [ 'POLUS', 'POLLOU', 'POLLWi', 'POLUN', 'POLLH', 'POLLHS', 'POLLHi', 'POLLHN', 'POLU', 'POLLOU', 'POLLWi', 'POLU', 'POLLOI', 'POLLWN', 'POLLOIS', 'POLLOUS', 'POLLAI', 'POLLWN', 'POLLAIS', 'POLLAS', 'POLLA', 'POLLWN', 'POLLOIS', 'POLLA' ]; $VAR21 = [ 'PAS', 'PANTOS', 'PANTI', 'PANTA', 'PAS', 'PASA', 'PASHS', 'PASHi', 'PASAN', 'PASA', 'PAN', 'PANTOS', 'PANTI', 'PAN', 'PANTES', 'PANTWN', 'PASI', 'PASIN', 'PANTAS', 'PANTES', 'PASAI', 'PASWN', 'PASAIS', 'PASAS', 'PASAI', 'PANTA', 'PANTWN' ]; $VAR22 = [ 'EPI', 'EP' ];
Author Z-Score-Based P-Values
$VAR1 = '0.134879823779009'; $VAR2 = '0.0161237284681351'; $VAR3 = '0.0460218603567077';
Excellent match. Z-Score-Based P-Value > 0.10.
Control Z-Score-Based P-Values
$VAR1 = '0.0195775874340186'; $VAR2 = '0.00479033439248452'; $VAR3 = '0.0452430380881673'; $VAR4 = '0.0416272456994701'; $VAR5 = '0.00198232579760425'; $VAR6 = '8.86787467271368e-12'; $VAR7 = '5.15217714343172e-08'; $VAR8 = '1.76862430799916e-12'; $VAR9 = '3.2770089565752e-278'; $VAR10 = '1.00450821376516e-234'; $VAR11 = '3.97263478087261e-06'; $VAR12 = '7.16099645215798e-20'; $VAR13 = '2.18330878194877e-05'; $VAR14 = '0.0037496350065064'; $VAR15 = '0.00568835757385869'; $VAR16 = '0.0239461076965492'; $VAR17 = '0.0464773377255677'; $VAR18 = '8.76509686532967e-05'; $VAR19 = '0.00337676511826499'; $VAR20 = '0.00145366407335527'; $VAR21 = '0.000310874529702696'; $VAR22 = '0.0118790604758047'; $VAR23 = '0.0208955419281204'; $VAR24 = '0.000858141426789473'; $VAR25 = '0.0144703444439138'; $VAR26 = '0.0521270161754494'; $VAR27 = '0.0103172704762633'; $VAR28 = '0.0311503951611195'; $VAR29 = '0.018989628792688';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.684580846686029'; $VAR2 = '0.0818357807505479'; $VAR3 = '0.233583372563423';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.721256098503436'; $VAR3 = 26; $VAR4 = '0.278743901496564';
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
0.00483091787439614
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
0.995192307692308
Percentage of Samples in the Second-Best Author 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 Second-Best Author, Z-Score-Based Method
1
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
Author Chi-Square-Based P-Values
$VAR1 = '0.000598481053972707'; $VAR2 = '0.000893948637798419'; $VAR3 = '0.0286232139098417';
Control Chi-Square-Based P-Values
$VAR1 = '1.57244413537657e-06'; $VAR2 = '2.15471995623262e-23'; $VAR3 = '0.0173324093985278'; $VAR4 = '0.0215001428096618'; $VAR5 = '9.10824650441725e-10'; $VAR6 = 0; $VAR7 = 0; $VAR8 = 0; $VAR9 = 0; $VAR10 = 0; $VAR11 = 0; $VAR12 = 0; $VAR13 = 0; $VAR14 = '3.2806842202086e-15'; $VAR15 = '7.50840964840216e-07'; $VAR16 = '0.050412385315852'; $VAR17 = '0.000768152744589035'; $VAR18 = '1.19682511961312e-12'; $VAR19 = '6.39622299884579e-12'; $VAR20 = 0; $VAR21 = 0; $VAR22 = '3.27709713780523e-22'; $VAR23 = '0.000998983907109171'; $VAR24 = '2.03141168731671e-07'; $VAR25 = '0.323231126328478'; $VAR26 = '0.000494031806895481'; $VAR27 = '4.46487464860337e-27'; $VAR28 = '0.0556417479569816'; $VAR29 = '6.40580802287918e-05';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Chi-Square-Based Method
$VAR1 = '0.0198727632020674'; $VAR2 = '0.0296838629658423'; $VAR3 = '0.95044337383209';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Chi-Square-Based Method
$VAR1 = 3; $VAR2 = '0.0813496115763542'; $VAR3 = 25; $VAR4 = '0.918650388423646';
Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.0286 Test, Chi-Square-Based Method
1
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.0286 Test, Chi-Square-Based Method
0.0234741784037559
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Chi-Square-Based Method
0.977064220183486
Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.0286 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Chi-Square-Based Method
1
Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.0286 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Chi-Square-Based Method
1
Sample 4 - 'Protrepticus'
testsize: 3303
$VAR1 = 38; $VAR2 = 32; $VAR3 = 50; $VAR4 = 185; $VAR5 = 19; $VAR6 = 76; $VAR7 = 33; $VAR8 = 21; $VAR9 = 30; $VAR10 = 14; $VAR11 = 19; $VAR12 = 9; $VAR13 = 8; $VAR14 = 13; $VAR15 = 11; $VAR16 = 1; $VAR17 = 3; $VAR18 = 10; $VAR19 = 14; $VAR20 = 12; $VAR21 = 19; $VAR22 = 8;
22 Words
$VAR1 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR2 = [ 'TIS', 'TINOS', 'TINI', 'TINA', 'TINES', 'TINWN', 'TISI', 'TISIN', 'TINAS', 'TI', 'TINA' ]; $VAR3 = [ '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' ]; $VAR4 = [ 'KAI' ]; $VAR5 = [ 'TE' ]; $VAR6 = [ 'DE', 'D' ]; $VAR7 = [ 'MEN' ]; $VAR8 = [ 'ALLA', 'ALL' ]; $VAR9 = [ 'GAR' ]; $VAR10 = [ 'EIS' ]; $VAR11 = [ 'EN' ]; $VAR12 = [ 'EK', 'EC' ]; $VAR13 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR14 = [ 'PROS' ]; $VAR15 = [ 'OUN' ]; $VAR16 = [ 'INA' ]; $VAR17 = [ 'OTI' ]; $VAR18 = [ 'APO', 'AP' ]; $VAR19 = [ 'PERI' ]; $VAR20 = [ 'POLUS', 'POLLOU', 'POLLWi', 'POLUN', 'POLLH', 'POLLHS', 'POLLHi', 'POLLHN', 'POLU', 'POLLOU', 'POLLWi', 'POLU', 'POLLOI', 'POLLWN', 'POLLOIS', 'POLLOUS', 'POLLAI', 'POLLWN', 'POLLAIS', 'POLLAS', 'POLLA', 'POLLWN', 'POLLOIS', 'POLLA' ]; $VAR21 = [ 'PAS', 'PANTOS', 'PANTI', 'PANTA', 'PAS', 'PASA', 'PASHS', 'PASHi', 'PASAN', 'PASA', 'PAN', 'PANTOS', 'PANTI', 'PAN', 'PANTES', 'PANTWN', 'PASI', 'PASIN', 'PANTAS', 'PANTES', 'PASAI', 'PASWN', 'PASAIS', 'PASAS', 'PASAI', 'PANTA', 'PANTWN' ]; $VAR22 = [ 'EPI', 'EP' ];
Author Z-Score-Based P-Values
$VAR1 = '0.115991298417157'; $VAR2 = '0.0099704378191568'; $VAR3 = '0.0761093456396583';
Excellent match. Z-Score-Based P-Value > 0.10.
Control Z-Score-Based P-Values
$VAR1 = '0.0211599557232139'; $VAR2 = '0.00352258019650652'; $VAR3 = '0.036712175105279'; $VAR4 = '0.0449195740163874'; $VAR5 = '0.00398799708901976'; $VAR6 = '6.93513193576349e-12'; $VAR7 = '1.91581453215373e-08'; $VAR8 = '1.98379542989606e-17'; $VAR9 = '1.44640938861734e-249'; $VAR10 = '1.07117252049979e-235'; $VAR11 = '0.000223502731034483'; $VAR12 = '1.30155809684698e-20'; $VAR13 = '0.000768846159699791'; $VAR14 = '0.0193643632074808'; $VAR15 = '0.0110992470988959'; $VAR16 = '0.0304196253187619'; $VAR17 = '0.0922031592678244'; $VAR18 = '3.63096846856778e-06'; $VAR19 = '0.00219206190234858'; $VAR20 = '0.000998165189998664'; $VAR21 = '0.000167301993765545'; $VAR22 = '0.00659837873037905'; $VAR23 = '0.0336559174274162'; $VAR24 = '0.00434925705679446'; $VAR25 = '0.0210389598212983'; $VAR26 = '0.0492577470607874'; $VAR27 = '0.0111052524933639'; $VAR28 = '0.035593146904141'; $VAR29 = '0.0597516172959452';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.574012359118018'; $VAR2 = '0.0493412403526226'; $VAR3 = '0.37664640052936';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.557129616738708'; $VAR3 = 17; $VAR4 = '0.442870383261292';
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
0.00483091787439614
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
0.995192307692308
Percentage of Samples in the Second-Best Author 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 Second-Best Author, Z-Score-Based Method
1
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
Author Chi-Square-Based P-Values
$VAR1 = '0.27845630217532'; $VAR2 = '9.62599730403314e-06'; $VAR3 = '0.175830392473127';
Control Chi-Square-Based P-Values
$VAR1 = '4.85478082279241e-11'; $VAR2 = '1.30759804823572e-29'; $VAR3 = '0.00990445726394746'; $VAR4 = '0.00498284332204067'; $VAR5 = '7.94260972743977e-06'; $VAR6 = 0; $VAR7 = 0; $VAR8 = 0; $VAR9 = 0; $VAR10 = 0; $VAR11 = 0; $VAR12 = 0; $VAR13 = '9.38105081344272e-16'; $VAR14 = '0.0180557066690292'; $VAR15 = '0.411927021452741'; $VAR16 = '0.248434658456575'; $VAR17 = '0.998063512045373'; $VAR18 = '7.65267154278231e-21'; $VAR19 = '7.26500694871303e-15'; $VAR20 = 0; $VAR21 = 0; $VAR22 = 0; $VAR23 = '0.0489071021941194'; $VAR24 = '0.22016162252971'; $VAR25 = '0.967883836661252'; $VAR26 = '5.39351455269254e-05'; $VAR27 = 0; $VAR28 = '0.18036388189407'; $VAR29 = '0.899754200346927';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Chi-Square-Based Method
$VAR1 = '0.612939813775101'; $VAR2 = '2.11888075394281e-05'; $VAR3 = '0.38703899741736';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Chi-Square-Based Method
$VAR1 = 1; $VAR2 = '0.218137077915485'; $VAR3 = 17; $VAR4 = '0.781862922084515';
Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.2 Test, Chi-Square-Based Method
0.785714285714286
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.2 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Chi-Square-Based Method
1
Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.2 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Chi-Square-Based Method
1
Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.2 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Chi-Square-Based Method
1
Sample 5 - 'Protrepticus'
testsize: 3201
$VAR1 = 41; $VAR2 = 42; $VAR3 = 62; $VAR4 = 141; $VAR5 = 7; $VAR6 = 93; $VAR7 = 19; $VAR8 = 16; $VAR9 = 37; $VAR10 = 24; $VAR11 = 14; $VAR12 = 20; $VAR13 = 15; $VAR14 = 8; $VAR15 = 16; $VAR16 = 3; $VAR17 = 1; $VAR18 = 1; $VAR19 = 8; $VAR20 = 8; $VAR21 = 13; $VAR22 = 19;
22 Words
$VAR1 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR2 = [ 'TIS', 'TINOS', 'TINI', 'TINA', 'TINES', 'TINWN', 'TISI', 'TISIN', 'TINAS', 'TI', 'TINA' ]; $VAR3 = [ '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' ]; $VAR4 = [ 'KAI' ]; $VAR5 = [ 'TE' ]; $VAR6 = [ 'DE', 'D' ]; $VAR7 = [ 'MEN' ]; $VAR8 = [ 'ALLA', 'ALL' ]; $VAR9 = [ 'GAR' ]; $VAR10 = [ 'EIS' ]; $VAR11 = [ 'EN' ]; $VAR12 = [ 'EK', 'EC' ]; $VAR13 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR14 = [ 'PROS' ]; $VAR15 = [ 'OUN' ]; $VAR16 = [ 'INA' ]; $VAR17 = [ 'OTI' ]; $VAR18 = [ 'APO', 'AP' ]; $VAR19 = [ 'PERI' ]; $VAR20 = [ 'POLUS', 'POLLOU', 'POLLWi', 'POLUN', 'POLLH', 'POLLHS', 'POLLHi', 'POLLHN', 'POLU', 'POLLOU', 'POLLWi', 'POLU', 'POLLOI', 'POLLWN', 'POLLOIS', 'POLLOUS', 'POLLAI', 'POLLWN', 'POLLAIS', 'POLLAS', 'POLLA', 'POLLWN', 'POLLOIS', 'POLLA' ]; $VAR21 = [ 'PAS', 'PANTOS', 'PANTI', 'PANTA', 'PAS', 'PASA', 'PASHS', 'PASHi', 'PASAN', 'PASA', 'PAN', 'PANTOS', 'PANTI', 'PAN', 'PANTES', 'PANTWN', 'PASI', 'PASIN', 'PANTAS', 'PANTES', 'PASAI', 'PASWN', 'PASAIS', 'PASAS', 'PASAI', 'PANTA', 'PANTWN' ]; $VAR22 = [ 'EPI', 'EP' ];
Author Z-Score-Based P-Values
$VAR1 = '0.145813737626526'; $VAR2 = '0.00162355203946694'; $VAR3 = '0.0172428115550228';
Excellent match. Z-Score-Based P-Value > 0.10.
Control Z-Score-Based P-Values
$VAR1 = '0.00568610870870682'; $VAR2 = '0.00420524345591772'; $VAR3 = '0.0636681899364524'; $VAR4 = '0.0687199220135862'; $VAR5 = '0.00499044060379017'; $VAR6 = '3.59851084147939e-11'; $VAR7 = '8.49382484018295e-08'; $VAR8 = '1.63246203744396e-08'; $VAR9 = '2.00838514782523e-249'; $VAR10 = '3.14110683854663e-29'; $VAR11 = '0.00821187209747016'; $VAR12 = '7.73678443003861e-16'; $VAR13 = '0.00020463845320472'; $VAR14 = '0.00826982796737257'; $VAR15 = '0.0101336558220085'; $VAR16 = '0.0189383188277388'; $VAR17 = '0.0550258676939474'; $VAR18 = '1.19196120115251e-10'; $VAR19 = '0.000210988993344849'; $VAR20 = '1.16131958129854e-06'; $VAR21 = '9.25125953573196e-07'; $VAR22 = '0.000199290044746444'; $VAR23 = '0.0160204237177689'; $VAR24 = '0.00164786952435545'; $VAR25 = '0.0477200799787901'; $VAR26 = '0.060036558915104'; $VAR27 = '4.18892207539714e-06'; $VAR28 = '0.03297701357656'; $VAR29 = '0.00739713511195794';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.885436288570352'; $VAR2 = '0.00985882342450097'; $VAR3 = '0.104704888005147';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.679677668628474'; $VAR3 = 4; $VAR4 = '0.320322331371526';
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
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1
Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1
Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 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
Author Chi-Square-Based P-Values
$VAR1 = '0.433065635619351'; $VAR2 = '4.78445073306331e-18'; $VAR3 = '5.92712214183332e-08';
Control Chi-Square-Based P-Values
$VAR1 = '3.30209867159928e-19'; $VAR2 = '8.42227473739776e-12'; $VAR3 = '0.0953013119465102'; $VAR4 = '0.454654623674323'; $VAR5 = '1.42835659114415e-27'; $VAR6 = 0; $VAR7 = 0; $VAR8 = '9.01478978903434e-19'; $VAR9 = 0; $VAR10 = 0; $VAR11 = '3.28162795333452e-14'; $VAR12 = 0; $VAR13 = 0; $VAR14 = '3.55836984097089e-07'; $VAR15 = '2.70340065213924e-09'; $VAR16 = '0.015141539769623'; $VAR17 = '0.798825654145153'; $VAR18 = '2.69533213777119e-33'; $VAR19 = '9.41441075636549e-56'; $VAR20 = '1.2703375953926e-17'; $VAR21 = 0; $VAR22 = 0; $VAR23 = '0.000115834009729692'; $VAR24 = '0.00824484099981705'; $VAR25 = '0.957825295476479'; $VAR26 = '0.0202419698776687'; $VAR27 = '6.90906016726012e-27'; $VAR28 = '0.0743978923552599'; $VAR29 = '7.01152860498833e-07';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Chi-Square-Based Method
$VAR1 = '0.999999863135727'; $VAR2 = '1.10478636140234e-17'; $VAR3 = '1.36864272828883e-07';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Chi-Square-Based Method
$VAR1 = 1; $VAR2 = '0.311358443669019'; $VAR3 = 25; $VAR4 = '0.688641556330981';
Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.4 Test, Chi-Square-Based Method
0.428571428571429
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.4 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Chi-Square-Based Method
1
Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.4 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Chi-Square-Based Method
1
Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.4 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Chi-Square-Based Method
1
Sample 6 - 'Protrepticus'
testsize: 3258
$VAR1 = 36; $VAR2 = 26; $VAR3 = 65; $VAR4 = 167; $VAR5 = 10; $VAR6 = 68; $VAR7 = 29; $VAR8 = 18; $VAR9 = 26; $VAR10 = 23; $VAR11 = 24; $VAR12 = 6; $VAR13 = 4; $VAR14 = 15; $VAR15 = 17; $VAR16 = 7; $VAR17 = 5; $VAR18 = 1; $VAR19 = 5; $VAR20 = 5; $VAR21 = 19; $VAR22 = 14;
22 Words
$VAR1 = [ 'AUTOS', 'AUTOU', 'AUTWi', 'AUTON', 'AUTOI', 'AUTWN', 'AUTOIS', 'AUTOUS', 'AUTH', 'AUTHS', 'AUTHi', 'AUTHN', 'AUTAI', 'AUTWN', 'AUTAIS', 'AUTAS', 'AUTO', 'AUTA' ]; $VAR2 = [ 'TIS', 'TINOS', 'TINI', 'TINA', 'TINES', 'TINWN', 'TISI', 'TISIN', 'TINAS', 'TI', 'TINA' ]; $VAR3 = [ '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' ]; $VAR4 = [ 'KAI' ]; $VAR5 = [ 'TE' ]; $VAR6 = [ 'DE', 'D' ]; $VAR7 = [ 'MEN' ]; $VAR8 = [ 'ALLA', 'ALL' ]; $VAR9 = [ 'GAR' ]; $VAR10 = [ 'EIS' ]; $VAR11 = [ 'EN' ]; $VAR12 = [ 'EK', 'EC' ]; $VAR13 = [ 'KATA', 'KAT', 'KAQ' ]; $VAR14 = [ 'PROS' ]; $VAR15 = [ 'OUN' ]; $VAR16 = [ 'INA' ]; $VAR17 = [ 'OTI' ]; $VAR18 = [ 'APO', 'AP' ]; $VAR19 = [ 'PERI' ]; $VAR20 = [ 'POLUS', 'POLLOU', 'POLLWi', 'POLUN', 'POLLH', 'POLLHS', 'POLLHi', 'POLLHN', 'POLU', 'POLLOU', 'POLLWi', 'POLU', 'POLLOI', 'POLLWN', 'POLLOIS', 'POLLOUS', 'POLLAI', 'POLLWN', 'POLLAIS', 'POLLAS', 'POLLA', 'POLLWN', 'POLLOIS', 'POLLA' ]; $VAR21 = [ 'PAS', 'PANTOS', 'PANTI', 'PANTA', 'PAS', 'PASA', 'PASHS', 'PASHi', 'PASAN', 'PASA', 'PAN', 'PANTOS', 'PANTI', 'PAN', 'PANTES', 'PANTWN', 'PASI', 'PASIN', 'PANTAS', 'PANTES', 'PASAI', 'PASWN', 'PASAIS', 'PASAS', 'PASAI', 'PANTA', 'PANTWN' ]; $VAR22 = [ 'EPI', 'EP' ];
Author Z-Score-Based P-Values
$VAR1 = '0.130381415095656'; $VAR2 = '0.00537140215066178'; $VAR3 = '0.0435828930679954';
Excellent match. Z-Score-Based P-Value > 0.10.
Control Z-Score-Based P-Values
$VAR1 = '0.014961711926187'; $VAR2 = '0.00112887461153307'; $VAR3 = '0.0655521361056134'; $VAR4 = '0.0775776437658759'; $VAR5 = '0.00373212202279496'; $VAR6 = '1.73198179976009e-08'; $VAR7 = '3.50710185718358e-06'; $VAR8 = '2.33863512593781e-14'; $VAR9 = '4.03703779691279e-194'; $VAR10 = '1.6201923372722e-28'; $VAR11 = '0.000901072205591044'; $VAR12 = '1.70055409798277e-18'; $VAR13 = '0.000331919153937235'; $VAR14 = '0.00205035893111265'; $VAR15 = '0.00774873603284791'; $VAR16 = '0.00764260621185638'; $VAR17 = '0.0267102004586712'; $VAR18 = '3.71621210570635e-06'; $VAR19 = '0.000544583790495605'; $VAR20 = '4.16212646089275e-06'; $VAR21 = '5.30174785856415e-07'; $VAR22 = '0.000186230817509624'; $VAR23 = '0.014180043468815'; $VAR24 = '0.00382939957365308'; $VAR25 = '0.0253112264450761'; $VAR26 = '0.0970015015014463'; $VAR27 = '1.31915371124249e-05'; $VAR28 = '0.0387486504738775'; $VAR29 = '0.0418225288387112';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Z-Score-Based Method
$VAR1 = '0.727024276799878'; $VAR2 = '0.0299516596067095'; $VAR3 = '0.243024063593412';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Z-Score-Based Method
$VAR1 = 1; $VAR2 = '0.573400223054917'; $VAR3 = 26; $VAR4 = '0.426599776945083';
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
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Z-Score-Based Method
1
Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.1 Test, Z-Score-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Z-Score-Based Method
1
Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.1 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
Author Chi-Square-Based P-Values
$VAR1 = '0.677051884605904'; $VAR2 = '3.92376945929141e-06'; $VAR3 = '0.00564630200176728';
Control Chi-Square-Based P-Values
$VAR1 = '2.94692070723635e-08'; $VAR2 = '1.19473373209663e-32'; $VAR3 = '0.259980249039108'; $VAR4 = '0.752196456632162'; $VAR5 = '7.25368251095608e-21'; $VAR6 = 0; $VAR7 = 0; $VAR8 = 0; $VAR9 = 0; $VAR10 = 0; $VAR11 = 0; $VAR12 = 0; $VAR13 = '4.93684717011403e-32'; $VAR14 = '2.48788244710675e-16'; $VAR15 = '7.87244398120831e-05'; $VAR16 = '4.1280921058515e-06'; $VAR17 = '0.0744232730113468'; $VAR18 = '2.61344526105859e-45'; $VAR19 = '1.53691166337437e-28'; $VAR20 = '2.56379594938797e-15'; $VAR21 = 0; $VAR22 = 0; $VAR23 = '8.52947446314246e-05'; $VAR24 = '0.947218751667666'; $VAR25 = '0.996299064480604'; $VAR26 = '0.876735479416249'; $VAR27 = '4.56291013339251e-43'; $VAR28 = '0.84975354553577'; $VAR29 = '0.810362426145468';
Bayesian Author Test: Posterior Probabilities from Equal Priors, Chi-Square-Based Method
$VAR1 = '0.991723731792618'; $VAR2 = '5.74741076620356e-06'; $VAR3 = '0.0082705207966154';
Bayesian Comparison of Best Author to Best Control: from Equal Priors, Chi-Square-Based Method
$VAR1 = 1; $VAR2 = '0.404608420591933'; $VAR3 = 25; $VAR4 = '0.595391579408067';
Percentage of Samples in the Best Author Candidate that Meet the P-Value>0.6 Test, Chi-Square-Based Method
0.214285714285714
Percentage of Samples outside the Best Author Candidate that Meet the P-Value>0.6 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author Candidate (with Prior = 0.5), not Any Other, Chi-Square-Based Method
1
Percentage of Samples in the Second-Best Author Candidate that Meet the P-Value>0.6 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Second-Best Author, Chi-Square-Based Method
1
Percentage of Samples in the Best Control Candidate that Meet the P-Value>0.6 Test, Chi-Square-Based Method
0
Posterior Probability of a Sample Meeting the Test Being by the Best Author, not the Best Control Author, Chi-Square-Based Method
1
"... almost every critical biblical position was earlier advanced by skeptics." - Raymond Brown