Data analysis in forensic science: a bayesian decision perspective

Data analysis in forensic science: a bayesian decision perspective

Taroni, Franco
Bozza, Silvia

71,83 €(IVA inc.)

The reasoning for this proposed book comes from two prevailing trends: 1) Theuse of statistical methods in forensic science has increased dramatically over the last few years. 2) Bayesian statistics is becoming an increasingly important and more frequently used method for the analysis of statistical data. This will be the first text to examine the two in 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 are all examined from a Bayesian decision-theoretic perspective. A wide range of statistical methods, essential in the analysis of forensic scientific data will be explored. These include the comparison of allele proportions in populations, the comparison of means, the choice of sampling size, and the discrimination of items of evidence of unknown origin into predefined populations. Throughout thispractical appraisal there will be a wide variety of examples taken from the routine work of forensic scientists. These applications will be demonstrated inthe ever-more popular R language. The reader will be taken through these applied examples in a step-by-step approach, discussing the methods at each stage.Franco Taroni Institute de Police Scientifique et de Criminologie, Universityof Lausanne, Switzerland Silvia Bozza Departimento di Statistica, Universit'adi Venezia, Italy Alex Biedermann Bundeskriminalpolizei, Kommissariat Kriminaltechnik, Switzerland Paolo Garbolino Faculty of Arts and Design, IUAV University, Venice, Italy Colin Aitken School of Mathematics, University of Edinburgh, UK

  • ISBN: 978-0-470-99835-9
  • Editorial: John Wiley & Sons
  • Encuadernacion: Cartoné
  • Páginas: 392
  • Fecha Publicación: 09/04/2010
  • Nº Volúmenes: 1
  • Idioma: Inglés