Description
The evidence, whatever its source, must be understandable to non-experts, including lawyers, judges, and sometimes juries. The authors keep this in mind as they describe the theories and practicalities of uncertainty in forensic science, variation, the evaluation of evidence, Bayesian inference, sampling, interpretation of various evidence types, transfer of evidence, discrete and continuous data, multivariate analysis, DNA profiling and Bayesian networks. Aiken (mathematics, U. of Edinburgh) and Taroni (criminal science and legal medicine, U. of Lausanne) update this edition with information on glass and fiber interpretation and Bayesian nets, as well as new material on multivariate data. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)
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The first edition of Statistics and the Evaluation of Evidence for Forensic Scientists established itself as a highly regarded authority on this area. Fully revised and updated, the second edition provides significant new material on areas of current interest including: Glass Interpretation Fibres Interpretation Bayes' Nets The title presents comprehensive coverage of the statistical evaluation of forensic evidence. It is written with the assumption of a modest mathematical background and is illustrated throughout with up-to-date examples from a forensic science background. The clarity of exposition makes this book ideal for all forensic scientists, lawyers and other professionals in related fields interested in the quantitative assessment and evaluation of evidence. 'There can be no doubt that the appreciation of some evidence in a court of law has been greatly enhanced by the sound use of statistical ideas and one can be confident that the next decade will see further developments, during which time this book will admirably serve those who have cause to use statistics in forensic science.' D.V. Lindley
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