Overview

Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding the reader through the key statistical techniques used to evaluate various types of forensic evidence. Assuming only a modest mathematical background, the book uses real-life examples from the forensic science literature and forensic case-work to illustrate relevant statistical concepts and methods. Opening with a brief overview of the history and use of statistics within forensic science, the text then goes on to introduce statistical techniques commonly used to examine data obtained during laboratory experiments. There is a strong emphasis on the evaluation of scientific observation as evidence and modern Bayesian approaches to interpreting forensic data for the courts. The analysis of key forms of evidence are discussed throughout with a particular focus on DNA, fibres and glass. 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

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9780470022009

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Reviews

...it does a wonderful job of connecting forensic science to the field of statistics. (Technometrics, August 2007)

?It deserves a place in the library of any serious forensic scientist and I congratulate the author on his achievement.? (Significance, 1 March 2006) ?it does a wonderful job of connecting forensic science to the field of statistics. (Technometrics, August 2007)

“It deserves a place in the library of any serious forensic scientist and I congratulate the author on his achievement.”   (Significance, 1 March 2006) ""…it does a wonderful job of connecting forensic science to the field of statistics."" (Technometrics, August 2007)

Author Information

Dr. David Lucy, School of Mathematics, The University of Edinburgh.

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