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 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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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.
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.
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