Statistics and the Evaluation of Evidence for Forensic Scientists. 2nd Edition. Statistics in Practice

  • ID: 2176542
  • Book
  • 540 Pages
  • John Wiley and Sons Ltd
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The use of statistical and probabilistic ideas in forensic science is of increasing importance to the administration of justice. This is exemplified by their role in the evaluation and interpretation of trace evidence, such as glass, fibres and DNA. They allow the forensic scientist to evaluate and interpret evidence where there is an element of uncertainty.

For many years, Statistics and the Evaluation of Evidence for Forensic Scientists has been considered the leading text in the statistical evaluation of forensic evidence. It is highly regarded amongst forensic scientists. This new edition is fully updated, covering many new topics of interest, and includes coverage of new fields of evidence. It features new examples concerned with up–to–date data sets, and a chapter on evidence evaluation using Bayesian nets.

  • Provides a comprehensive introduction to the statistical evaluation of forensic evidence.
  • Features new material on glass interpretation, fibres interpretation and Bayesian nets.
  • Includes new material on the analysis of multi variate data, useful, for example, in problems involving elemental or chemical compositions.
  • Illustrated throughout with examples using real up–to–date data.
  • Assumes only a modest mathematical background.
  • Includes a foreword by Dennis Lindley.
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 forensic evidence. It is also suitable for graduate students studying courses in the statistical 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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Preface to the first edition.

Preface to the second edition.

Uncertainty in forensic science.

Variation.

The evaluation of evidence.

Historical review.

Bayesian inference.

Sampling.

Interpretation.

Transfer evidence.

Discrete data.

Continuous data.

Multivariate analysis.

Fibres.

DNA profiling.

Bayesian networks.

References.

Notation.

Cases.

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A complex story is told well; anyone whose statistical work interacts with the legal system will do well to have this book to hand. dies.   (Significance, 1 March 2005)

An invaluable introduction to the statistical interpretation of forensic evidence; this book will be invaluable for all undergraduates taking courses in forensic science.  Introduction to the key statistical techniques used in the evaluation of forensic evidence.  Includes end of chapter exercises to enhance student understanding.  Numerous examples taken from forensic science to put the subject into context.   (Voip–video, 24 September 2012)

  wholly admirable the benefits of using sensible notation to understand how to combine different types of evidence shine through. (Significance magazine of the Royal Statistical Society, March 2005)

"We wish to congratulate Profs Aitken and Taroni on their scholarly and valuable contribution to the field." (Law, Probability and Risk, 2006)

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