Description |
1 online resource (212 pages) |
Physical Medium |
polychrome |
Description |
text file |
Bibliography |
Includes bibliographical references and index. |
Contents |
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. |
Summary |
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. |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
Bible. New Testament -- Language, style -- Statistics.
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Bible. New Testament. |
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Language and languages -- Style. |
Genre/Form |
Statistics.
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Subject |
Bible. New Testament. |
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Synoptic problem.
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Synoptic problem. |
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RELIGION -- Biblical Studies -- Jesus, the Gospels & Acts. |
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RELIGION -- Biblical Studies -- New Testament. |
Genre/Form |
Statistics.
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Other Form: |
Print version: Abakuks, Andris. Synoptic Problem and Statistics. Hoboken : Taylor and Francis, ©2014 9781466572010 |
ISBN |
9781466572027 (electronic book) |
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1466572027 (electronic book) |
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