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|a Abakuks, Andris,
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|a Synoptic problem and statistics /
|c Andris Abakuks.
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|a Boca Raton, Florida :
|b CRC Press,
|c 2015.
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|c ©2015
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|a Includes bibliographical references.
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|a 1. Introduction to the gospel texts and the synoptic problem -- 2. The triple-link model -- 3. Matthew's and Luke's use of Mark : a logistic regression approach -- 4. Hidden Markov for binary time series -- 5. Matthew's and Luke's use of Mark : hidden Markov models -- 6. Mark's and Luke's use of Matthew -- 7. Examples of synoptic parallels -- 8. Final conclusions.
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|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.
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|a Synoptic problem.
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|a Problème synoptique.
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|a Synoptic problem
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|i Print version:
|a Abakuks, Andris.
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|d Boca Raton, Florida : CRC Press, ©2015
|h xii, 199 pages
|z 9781466572010
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