Biedermann alex (12 Ergebnisse)
Bayesian Networks And Probabilistic Inference In Forensic Science
Taroni, Franco; Aitken, Colin; Garbolino, Paolo; Biedermann, Alex
- Hardcover
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Zustand: 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.
- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 48,49
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Zustand: New. In.
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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Zustand: New. In.
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 71,82
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Paperback. Zustand: Brand New. 199 pages. 9.26x6.10x0.42 inches. In Stock.
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 199 pages. 9.25x6.10x0.71 inches. In Stock.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 46,39
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Taschenbuch. Zustand: 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, pr…actical 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.
Sprache: Englisch
Verlag: John Wiley & Sons 2014
Serie: Statistics in Practice, Buch 31 von 49. Buch 31 von 49 - Statistics in Practice
- Hardcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 106,42
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Zustand: New. pp. 472.
Data Analysis in Forensic Science
Bozza Silvia Taroni Franco Aitken Colin Biedermann Alex Garbolino Paolo
- Hardcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 143,62
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Zustand: New. pp. 388.
- Hardcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
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Zustand: 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 perspec…tive, 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.
Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science 2e
Taroni, Franco/ Biedermann, Alex/ Bozza, Silvia/ Garbolino, Paolo/ Aitken, Colin
Sprache: Englisch
Verlag: John Wiley & Sons Inc 2014
Serie: Statistics in Practice, Buch 31 von 49. Buch 31 von 49 - Statistics in Practice
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 148,87
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Hardcover. Zustand: Brand New. 2nd edition. 443 pages. 9.00x6.00x1.00 inches. In Stock.
Sprache: Englisch
Verlag: WILEY 2014
Serie: Statistics in Practice, Buch 31 von 49. Buch 31 von 49 - Statistics in Practice
- Hardcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 110,15
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Zustand: 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.
- Hardcover
Anbieter: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, DeutschlandBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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EUR 189,90
EUR 39,95 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: gut. 2022. Bayes Factors for Forensic Decision Analyses with R In deutscher Sprache. pages.
