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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Bozza, Silvia, Taroni, Franco, Biedermann, Alex
Médium:	Online
Jazyk:	angličtina
Vydáno:	Springer Nature 2022
Témata:	Bayes factor scientific evidence decision making forensic science uncertainty management probability theory forensic decision analysis Bayesian modeling R Bayesian statistics probabilistic inference thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKV Crime and criminology::JKVF Criminal investigation and detection::JKVF1 Forensic science thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKT Forensic medicine thema EDItEUR::J Society and Social Sciences::JM Psychology::JMK Criminal or forensic psychology thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
On-line přístup:	ONIX_20221118_9783031098390_37
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!