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A self-contained examination of all aspects of statistical evidence evaluation in forensic science, from theory to concrete applications.
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Informazioni sugli autori
Ronald Meester is Professor in probability theory at Vrije Universiteit Amsterdam. He is co-author of the books Continuum Percolation (1996), Random Networks for Communication (2008), and Wiskunde in je vingers (in Dutch, 2015) and has written around 120 research papers on topics including percolation theory, ergodic theory, philosophy of science, and forensic probability.
Klaas Slooten works as Statistician at the Netherlands Forensic Institute and at Vrije Universiteit Amsterdam where he is Professor by special appointment. He has published around 30 articles on forensic probability and statistics. He is interested in the mathematical, legal, and philosophical approaches to the evaluation of evidence.
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Probability and Forensic Evidence : Theory, Philosophy, and Applications
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Paperback. Condizione: new. Paperback. This book addresses the role of statistics and probability in the evaluation of forensic evidence, including both theoretical issues and applications in legal contexts. It discusses what evidence is and how it can be quantified, how it should be understood, and how it is applied (and, sometimes, misapplied). After laying out their philosophical position, the authors begin with a detailed study of the likelihood ratio. Following this grounding, they discuss applications of the likelihood ratio to forensic questions, in the abstract and in concrete cases. The analysis of DNA evidence in particular is treated in great detail. Later chapters concern Bayesian networks, frequentist approaches to evidence, the use of belief functions, and the thorny subject of database searches and familial searching. Finally, the authors provide commentary on various recommendation reports for forensic science. Written to be accessible to a wide audience of applied mathematicians, forensic scientists, and scientifically-oriented legal scholars, this book is a must-read for all those interested in the mathematical and philosophical foundations of evidence and belief. This book discusses the role of statistics and probability in the evaluation of forensic evidence, in theory and in practice. Accessible to a wide audience of mathematicians and statisticians, forensic scientists, and legal scholars, it is a must-read for those interested in the mathematical and philosophical foundations of evidence and belief. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781108449144
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Paperback. Condizione: New. This book addresses the role of statistics and probability in the evaluation of forensic evidence, including both theoretical issues and applications in legal contexts. It discusses what evidence is and how it can be quantified, how it should be understood, and how it is applied (and, sometimes, misapplied). After laying out their philosophical position, the authors begin with a detailed study of the likelihood ratio. Following this grounding, they discuss applications of the likelihood ratio to forensic questions, in the abstract and in concrete cases. The analysis of DNA evidence in particular is treated in great detail. Later chapters concern Bayesian networks, frequentist approaches to evidence, the use of belief functions, and the thorny subject of database searches and familial searching. Finally, the authors provide commentary on various recommendation reports for forensic science. Written to be accessible to a wide audience of applied mathematicians, forensic scientists, and scientifically-oriented legal scholars, this book is a must-read for all those interested in the mathematical and philosophical foundations of evidence and belief. Codice articolo LU-9781108449144
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