CHAFF
发表于 2025-3-21 19:00:34
书目名称Bayes Factors for Forensic Decision Analyses with R影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0181816<br><br> <br><br>书目名称Bayes Factors for Forensic Decision Analyses with R影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0181816<br><br> <br><br>书目名称Bayes Factors for Forensic Decision Analyses with R网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0181816<br><br> <br><br>书目名称Bayes Factors for Forensic Decision Analyses with R网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0181816<br><br> <br><br>书目名称Bayes Factors for Forensic Decision Analyses with R被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0181816<br><br> <br><br>书目名称Bayes Factors for Forensic Decision Analyses with R被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0181816<br><br> <br><br>书目名称Bayes Factors for Forensic Decision Analyses with R年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0181816<br><br> <br><br>书目名称Bayes Factors for Forensic Decision Analyses with R年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0181816<br><br> <br><br>书目名称Bayes Factors for Forensic Decision Analyses with R读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0181816<br><br> <br><br>书目名称Bayes Factors for Forensic Decision Analyses with R读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0181816<br><br> <br><br>
AER
发表于 2025-3-21 21:21:41
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嬉耍
发表于 2025-3-22 04:17:35
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灵敏
发表于 2025-3-22 05:15:24
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压迫
发表于 2025-3-22 10:11:11
https://doi.org/10.1007/978-3-031-09839-0Bayes factor; scientific evidence; decision making; forensic science; uncertainty management; probability
Clumsy
发表于 2025-3-22 15:01:06
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Encumber
发表于 2025-3-22 19:04:51
Celeste Lyn Paul,Kirsten Whitleylogical inference and decision. The chapter introduces the reader to three key topics that forensic scientists commonly encounter and that are treated in this book: model choice, evaluation and investigation. For each of these themes, Bayes factors will be developed in later chapters and discussed u
极小量
发表于 2025-3-23 00:18:49
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definition
发表于 2025-3-23 05:03:53
https://doi.org/10.1007/978-3-642-39345-7inuous multivariate data. The latter may present a complex dependence structure that will be handled by means of multilevel models. The notion of “evaluative purpose” is understood here as referring to situations in which material of known source (control material) and evidential material of unknown
epicardium
发表于 2025-3-23 06:11:18
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