Articles liés à Bayes Factors for Forensic Decision Analyses With R
- ÉditeurSpringer International Publishing AG
- Date d'édition2023
- ISBN 10 3031098412
- ISBN 13 9783031098413
- ReliureBroché
- Langueanglais
- Nombre de pages187
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Bayes Factors for Forensic Decision Analyses with R (Paperback or Softback)
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Springer 11/1/2023, 2023
ISBN 10 : 3031098412
ISBN 13 : 9783031098413
Neuf
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Paperback or Softback. Etat : New. Bayes Factors for Forensic Decision Analyses with R 0.63. Book. N° de réf. du vendeur BBS-9783031098413
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Bayes Factors for Forensic Decision Analyses with R (Springer Texts in Statistics)
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Bayes Factors for Forensic Decision Analyses with R (Springer Texts in Statistics)
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Bayes Factors for Forensic Decision Analyses with R
Edité par
Springer International Publishing Nov 2023, 2023
ISBN 10 : 3031098412
ISBN 13 : 9783031098413
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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: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 information-scientific evidence-ought 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 statisticians interested 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. 200 pp. Englisch. N° de réf. du vendeur 9783031098413
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Bayes Factors for Forensic Decision Analyses with R
Edité par
Springer International Publishing, 2023
ISBN 10 : 3031098412
ISBN 13 : 9783031098413
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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: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 information-scientific evidence-ought 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. N° de réf. du vendeur 9783031098413
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Bayes Factors for Forensic Decision Analyses with
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 200. N° de réf. du vendeur 26398552633
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Bayes Factors for Forensic Decision Analyses with
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Etat : New. Print on Demand pp. 200. N° de réf. du vendeur 397857254
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Bayes Factors for Forensic Decision Analyses with
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 200. N° de réf. du vendeur 18398552627
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Bayes Factors for Forensic Decision Analyses With R
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 199 pages. 9.26x6.10x0.42 inches. In Stock. N° de réf. du vendeur x-3031098412
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Bayes Factors for Forensic Decision Analyses with R
Edité par
Springer International Publishing, 2023
ISBN 10 : 3031098412
ISBN 13 : 9783031098413
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Emphasizes the role of Bayes factor guided reasoning as a necessary preliminary to coherent decision analysisPresents computational details and interpretation of output, recommended in forensic scienceDemonstrates how to tackle practical pr. N° de réf. du vendeur 1155871952
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