Probability and Forensic Evidence: Theory, Philosophy, and Applications

Author:   Ronald Meester (Vrije Universiteit, Amsterdam) ,  Klaas Slooten (Vrije Universiteit, Amsterdam)
Publisher:   Cambridge University Press
ISBN:  

9781108449144


Pages:   424
Publication Date:   08 April 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Probability and Forensic Evidence: Theory, Philosophy, and Applications


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Author:   Ronald Meester (Vrije Universiteit, Amsterdam) ,  Klaas Slooten (Vrije Universiteit, Amsterdam)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 17.00cm , Height: 2.30cm , Length: 24.40cm
Weight:   0.722kg
ISBN:  

9781108449144


ISBN 10:   110844914
Pages:   424
Publication Date:   08 April 2021
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Some Philosophy of Probability, Statistics, and Forensic Science; 2. Evidence and the Likelihood Ratio; 3. The Uncertainty of the Likelihood Ratio; 4. Forensic Identification; 5. The Bayesian Framework in Legal Cases; 6. Bayesian Networks; 7. DNA; 8. Statistical Modeling and DNA Mixture Evaluation; 9. p-Values of Likelihood Ratios; 10. From Evidence to Decision; 11. The Interpretation of DNA Database Matches; 12. Familial Searching; 13. Belief Functions and their Applications; 14. Recommendation Reports; References; Index.

Reviews

'This is a foundational introduction to the statistical interpretation of forensic evidence. It should be considered an essential reference for anyone considering study or research in this area. The language and exposition are crystal-clear and leave no room for uncertainty of thinking.' James Curran, University of Auckland 'A masterful and thought-provoking look at the statistical underpinnings for the interpretation of forensic evidence. The authors make a compelling case for the use of likelihood ratios and debunk misinterpretations of these ratios. Their strong statements across a range of current debates about DNA evidence in particular are based on detailed mathematical derivations.' Bruce Weir, University of Washington


Author Information

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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