LEADER 00000cam a2200601Ia 4500 
001    ocn893735858 
003    OCoLC 
005    20230407062059.0 
006    m     o  d         
007    cr cnu---unuuu 
008    141025s2014    flu     obs   001 0 eng d 
020    9781466572027|q(electronic book) 
020    1466572027|q(electronic book) 
035    (OCoLC)893735858 
040    EBLCP|beng|epn|cEBLCP|dN$T|dIDEBK|dCDX|dDEBSZ|dCRCPR
       |dOCLCQ|dMERUC|dOCLCQ|dOCLCF|dOCLCQ|dOCLCO|dOCLCQ|dOCLCO
       |dOCLCQ 
049    RIDW 
050  4 BS2555.52|b.A23 2014 
072  7 REL|x006710|2bisacsh 
072  7 REL|x006220|2bisacsh 
082 04 226.0660727|223 
090    BS2555.52|b.A23 2014 
100 1  Abakuks, Andris.|0https://id.loc.gov/authorities/names/
       n2015004669 
245 14 The synoptic problem and statistics /|cAndris Abakuks. 
264  1 Boca Raton :|bCRC Press, Taylor & Francis Group,|c[2014] 
300    1 online resource (212 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
504    Includes bibliographical references and index. 
505 0  Front Cover; Contents; Preface; Chapter 1: Introduction to
       the gospel texts and the synoptic problem; Chapter 2: The 
       triple-link model; Chapter 3: Matthew's and Luke's use of 
       Mark: a logistic regression approach; Chapter 4: Hidden 
       Markov models for binary time series; Chapter 5: Matthew's
       and Luke's use of Mark: hidden Markov models; Chapter 6: 
       Mark's and Luke's use of Matthew; Chapter 7: Examples of 
       synoptic parallels; Chapter 8: Final conclusions; Appendix
       A: R code for hidden Markov models; Bibliography; Back 
       Cover. 
520    See How to Use Statistics for New Testament 
       InterpretationThe Synoptic Problem and Statistics lays the
       foundations for a new area of interdisciplinary research 
       that uses statistical techniques to investigate the 
       synoptic problem in New Testament studies, which concerns 
       the relationships between the Gospels of Matthew, Mark, 
       and Luke. There are potential applications of the 
       techniques to study other sets of similar documents. 
       Explore Hidden Markov Models for Textual Data The book 
       provides an introductory account of the synoptic problem 
       and relevant theories, literature, and research at a 
       level. 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
630 00 Bible.|pNew Testament|xLanguage, style|0https://id.loc.gov
       /authorities/subjects/sh85013754|vStatistics.|0https://
       id.loc.gov/authorities/subjects/sh99001414 
630  7 Bible.|pNew Testament.|2fast|0https://id.worldcat.org/fast
       /1808090 
630 07 Bible.|pNew Testament.|2fast|0https://id.worldcat.org/fast
       /1808090 
650  0 Synoptic problem.|0https://id.loc.gov/authorities/subjects
       /sh85131645 
650  7 Language and languages|xStyle.|2fast|0https://
       id.worldcat.org/fast/992266 
650  7 Synoptic problem.|2fast|0https://id.worldcat.org/fast/
       1141173 
650  7 RELIGION|xBiblical Studies|xJesus, the Gospels & Acts.
       |2bisacsh 
650  7 RELIGION|xBiblical Studies|xNew Testament.|2bisacsh 
655  7 Statistics.|2fast|0https://id.worldcat.org/fast/1423727 
655  7 Statistics.|2lcgft|0https://id.loc.gov/authorities/
       genreForms/gf2014026181 
776 08 |iPrint version:|aAbakuks, Andris.|tSynoptic Problem and 
       Statistics.|dHoboken : Taylor and Francis, ©2014
       |z9781466572010 
856 40 |uhttps://rider.idm.oclc.org/login?url=https://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=873837|zOnline ebook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20230412|cEBSCO|tEBSCOebooksacademic NEW 4-7 2639 |lridw
994    92|bRID