Introduction to Statistics for Forensic Scientists gently guides 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 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 goes on to introduce statistical techniques commonly used to examine data obtained during laboratory experiments. There is a strong emphasis of 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 is discussed throughout with a particular forces on DNA, fibres and glass.
Introduces key statistical techniques used in the evaluation of forensic evidence.
Included the end of chapter exercises to enhance student understanding.
Numerous examples taken from forensic science put the subject into context.
An essential introduction to the statistical interpretation of forensic evidence, this book be invaluable for all undergraduates taking courses in forensic science.
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