Synoptic Problem and Statistics

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A01=Andris Abakuks
advanced statistical analysis in biblical studies
Age Group_Uncategorized
Age Group_Uncategorized
agreement
and Luke
Author_Andris Abakuks
automatic-update
biblical studies
BIC Criterion
binary
Binary Time Series
binary time series analysis
Category1=Non-Fiction
Category=JMB
computational text analysis
COP=United Kingdom
Data Set
Data Sets
David's Son
David’s Son
Delivery_Pre-order
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Estimated Regression Coefficients
Fitted Model Equation
Global Decoding
gospel source criticism
gospels
Gospels of Matthew
Griesbach Hypotheses
hidden
Hidden Markov Models for Textual Data
Hidden States
HMMs
Language_English
logistic regression methods
Main Random Effect
Mark
markov
Minor Agreements
Model Mt4
models
NRSV Translation
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Price_€50 to €100
PS=Active
R programming applications
regressor
Regressor Variables
religious data science
Residual Deviance
series
softlaunch
Statistical Independence
statistical modeling
Statistics for New Testament Interpretation
Strong Statistical Dependence
Synoptic Gospels
Synoptic Problem
synoptic problem in New Testament studies
textual analysis
time
Triple Tradition
Va Ri
variable length Markov chains
verbal
Verbal Agreements
Vice Versa

Product details

  • ISBN 9781138374782
  • Weight: 400g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Sep 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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See How to Use Statistics for New Testament Interpretation

The 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 suitable for academic and professional statisticians. For those with no special interest in biblical studies or textual analysis, the book presents core statistical material on the use of hidden Markov models to analyze binary time series. Biblical scholars interested in the synoptic problem or in the use of statistical methods for textual analysis can omit the more technical/mathematical aspects of the book. The binary time series data sets and R code used are available on the author’s website.

Andris Abakuks is a lecturer in statistics at Birkbeck, University of London. His research focuses on the application of probability and statistics to problems in theology and New Testament studies.

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