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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 theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics:
Availability
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Detail Information
- Series Title
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Springer Texts in Statistics
- Call Number
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XII, 187
- Publisher
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Springer Cham :
Springer Cham.,
2022
- Collation
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- Language
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English
- ISBN/ISSN
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978-3-031-09839-0
- Classification
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NONE
- Content Type
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text
- Media Type
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computer
- Carrier Type
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online resource
- Edition
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1
- Subject(s)
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- Specific Detail Info
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- Statement of Responsibility
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Silvia Bozza, Franco Taroni, Alex Biedermann
Other Information
- Cataloger
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Suwardi
- Source
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https://link.springer.com/book/10.1007/978-3-031-09839-0
- Validator
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imron
- Digital Object Identifier (DOI)
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- Journal Volume
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- Journal Issue
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- Subtitle
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- Parallel Title
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Other version/related
No other version available
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