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 theor...

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Detalles Bibliográficos
Autores principales:	Bozza, Silvia. author (author), Taroni, Franco. author, Biedermann, Alex. author
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Cham Springer Nature 2022 Cham : 2022.
Edición:	1st ed. 2022.
Colección:	Springer Texts in Statistics,
Materias:	Statistics. Mathematical statistics—Data processing. Forensic sciences. Medical jurisprudence. Forensic psychology. Social sciences—Statistical methods. Statistical Theory and Methods. Statistics and Computing. Forensic Science. Forensic Medicine. Forensic Psychology. Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. Estadística bayesiana Processament de dades Criminalística R (Llenguatge de programació) Bayes factor scientific evidence decision making forensic science uncertainty management probability theory forensic decision analysis Bayesian modeling R Bayesian statistics probabilistic inference Llibres electrònics
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009701629306719