Bayes Factors for Forensic Decision Analyses with R

Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability--keeping theo...

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Bibliographic Details
Main Authors: Bozza, Silvia (Author), Taroni, Franco (Author), Biedermann, Alex (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham Springer Nature 2022.
Cham : Springer Nature, 2022.
Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Springer texts in statistics.
Physical Description:
1 online resource (XII, 187 pages 22 illustrations, 5 illustrations in color.)
Subjects:
Statistics and computing.
Statistics.
Mathematical statistics -- Data processing.
Forensic sciences.
Medical jurisprudence.
Forensic psychology.
Social sciences -- Statistical methods.
Statistics.
Forensic sciences.
Medical jurisprudence.
Forensic psychology.
Online Access:SpringerLink - Click here for access
Holdings details from CMU Electronic Access C502
Copy 1 CMU Electronic Access Available

Internet

SpringerLink - Click here for access

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