Statistics and the Evaluation of Evidence for Forensic Scientists
C. G. G. Aitken(Author)
Wiley (Publisher)
Published on 23. March 1995
Book
Hardback
276 pages
978-0-471-95532-0 (ISBN)
Description
Statistics in Practice A new series of practical books outlining the use of statistical techniques in a wide range of application areas: Human and Biological Sciences Earth and Environmental Sciences Industry, Commerce and Finance The use of statistical and probabilistic methods and models in forensic science is of increasing importance, as demonstrated by the widespread public interest in DNA profiling evidence. However, such methods and models are appropriate to a range of other situations also of relevance to forensic scientists. Assuming only a modest mathematical background, the book uses data-based examples from a forensic science background to illustrate, with careful presentation and explanation, the relevant statistical concepts and methods. Topics covered include: Transfer evidence. The likelihood ratio approach for evaluating evidence under conflicting hypotheses produced by the prosecution and the defence. The interpretation of quantitative results the prosecutor's and the defender's fallacies. The examination of DNA profiling, blood groups, glass fragments, etc.
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.
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.
More details
Series
Language
English
Place of publication
Chichester
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 235 mm
Width: 155 mm
Weight
565 gr
ISBN-13
978-0-471-95532-0 (9780471955320)
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Schweitzer Classification
Content
Uncertainty in Forensic Science. The Evaluation of Evidence. Variation. Historical Review. Transfer Evidence. Discrete Data. Continuous Data. DNA Profiling. References. Indexes.