The synoptic problem and statistics /
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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press, Taylor & Francis Group,
[2014]
|
| Subjects: | |
| Online Access: | CONNECT |
MARC
| LEADER | 00000cam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | in00006362187 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 141025s2014 flu obs 001 0 eng d | ||
| 005 | 20240618154417.2 | ||
| 020 | |a 9781466572027 |q (electronic bk.) | ||
| 020 | |a 1466572027 |q (electronic bk.) | ||
| 035 | |a 1WRLDSHRocn893735858 | ||
| 035 | |a (OCoLC)893735858 | ||
| 040 | |a EBLCP |b eng |e pn |c EBLCP |d N$T |d IDEBK |d CDX |d DEBSZ |d CRCPR |d OCLCQ |d MERUC |d OCLCQ |d OCLCF |d OCLCQ |d OCLCO |d OCLCQ |d OCLCO |d OCLCQ |d OCL |d OCLCO |d OCLCL |d OCLCQ | ||
| 049 | |a TXMM | ||
| 050 | 4 | |a BS2555.52 |b .A23 2014 | |
| 082 | 0 | 4 | |a 226.0660727 |2 23 |
| 100 | 1 | |a Abakuks, Andris. | |
| 245 | 1 | 4 | |a The synoptic problem and statistics / |c Andris Abakuks. |
| 260 | |a Boca Raton : |b CRC Press, Taylor & Francis Group, |c [2014] | ||
| 300 | |a 1 online resource (212 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file |2 rda | ||
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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 | |a 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. | ||
| 500 | |a EBSCO eBook Academic Comprehensive Collection North America |5 TMurS | ||
| 630 | 0 | 0 | |a Bible. |p New Testament |x Language, style |v Statistics. |
| 630 | 0 | 7 | |a Bible. |p New Testament |2 fast |
| 650 | 0 | |a Synoptic problem. | |
| 655 | 7 | |a Statistics |2 fast | |
| 730 | 0 | |a WORLDSHARE SUB RECORDS | |
| 758 | |i has work: |a Synoptic problem and statistics (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFXCvQMgJ4t7Vhw4f9QtTd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Abakuks, Andris. |t Synoptic Problem and Statistics. |d Hoboken : Taylor and Francis, ©2014 |z 9781466572010 |
| 856 | 4 | 0 | |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=873837&authtype=ip,sso&custid=s4672406 |z CONNECT |3 eBooks on EBSCOhost |t 0 |
| 949 | |a ho0 | ||
| 994 | |a 92 |b TXM | ||
| 998 | |a wi |d z | ||
| 999 | f | f | |s 8abda844-c593-488b-9f10-890659be4450 |i 7bde4587-5080-4e5f-9009-833467288536 |t 0 |
| 952 | f | f | |a Middle Tennessee State University |b Main |c James E. Walker Library |d Electronic Resources |t 0 |e BS2555.52 .A23 2014 |h Library of Congress classification |
