Data analysis in forensic science : a Bayesian decision perspective / Franco Taroni [and others].

Includes bibliographical references (pages 347-358) and index.

Front Matter -- The Foundations of Inference and Decision in Forensic Science: Introduction -- Scientific Reasoning and Decision Making -- Concepts of Statistical Science and Decision Theory -- Forensic Data Analysis: Point Estimation -- Credible Intervals -- Hypothesis Testing -- Sampling -- Classification of Observations -- Bayesian Forensic Data Analysis: Conclusions and Implications -- Appendix A: Discrete Distributions -- Appendix B: Continuous Distributions -- Bibliography -- Author Index -- Subject Index -- Statistics in Practice.

Thisis the first text to examine the use of statistical methods in forensic scienceand bayesian statisticsin combination. The book is split into two parts: Part One concentrates on the philosophies of statistical inference. Chapter One examines the differences between the frequentist, the likelihood and the Bayesian perspectives, before Chapter Two explores the Bayesian decision-theoretic perspective further, and looks at the benefits it carries. Part Two then introduces the reader to the practical aspects involved: the application, interpretation, summary and presentation of data analyses.

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