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Bayes Factors for Forensic Decision Analyses with R

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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 theor...

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書誌詳細
第一著者: Bozza, Silvia (auth)
その他の著者: Taroni, Franco (auth), Biedermann, Alex (auth)
フォーマット: 電子媒体 図書の章
言語:英語
出版事項: Cham Springer Nature 2022
シリーズ:Springer Texts in Statistics
主題:
Probability & statistics
Mathematical & statistical software
Forensic science
Forensic medicine
Criminal or forensic psychology
Social research & statistics
Bayes factor
scientific evidence
decision making
forensic science
uncertainty management
probability theory
forensic
decision analysis
Bayesian modeling
R
Bayesian statistics
probabilistic inference
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