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The synoptic problem and statistics [electronic resource] / Andris Abakuks.

By: Material type: TextTextPublication details: Boca Raton : CRC Press, Taylor & Francis Group, [2014]Description: 1 online resource (212 p.)ISBN:
  • 9781466572027
  • 1466572027
Subject(s): Genre/Form: Additional physical formats: Print version:: The Synoptic Problem and StatisticsDDC classification:
  • 226.0660727 23
LOC classification:
  • BS2555.52 .A23 2014
Online resources:
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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Mathematics Available
Total holds: 0

Description based upon print version of record.

Includes bibliographical references and index.

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

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.

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