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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Bayes Factors for Forensic Decision Analyses with R (Springer Texts in Statistics)
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Condition: New. pp. 200.
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Bayes Factors for Forensic Decision Analyses With R
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Paperback. Condition: Brand New. 199 pages. 9.26x6.10x0.42 inches. In Stock.
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Condition: New. 2022nd edition NO-PA16APR2015-KAP.
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Bayes Factors for Forensic Decision Analyses With R
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Hardcover. Condition: Brand New. 199 pages. 9.25x6.10x0.71 inches. In Stock.
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Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science
Book 31 of 49: Statistics in PracticeSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Data Analysis in Forensic Science : A Bayesian Decision Perspective
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Data Analysis in Forensic Science : A Bayesian Decision Perspective
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Condition: New. pp. 388.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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 applicabilityżkeeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics:Probabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence.Decision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law.Operational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context.Over the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new informationżscientific evidenceżought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty.This book would be relevant to students, practitioners, and applied statisticiansinterested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes.This book is Open Access.
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Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science 2e
Book 31 of 49: Statistics in PracticeLanguage: English
Published by John Wiley & Sons Inc, 2014
ISBN 10: 0470979739 ISBN 13: 9780470979730
Hardcover. Condition: Brand New. 2nd edition. 443 pages. 9.00x6.00x1.00 inches. In Stock.
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Gebunden. Condition: New. The use of formal statistical methods to analyse quantitative data in forensic science has increased considerably over the last few years. Students, researchers and practitioners in forensic science regularly ask questions concerning the relative merits of .
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Condition: New. This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation Dr.Über den AutorFRANCO TARONI, University of Lausanne, Switzerland ALEX BIED.
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Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science
Book 31 of 49: Statistics in PracticeSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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