Data Analysis in Forensic Science
A Bayesian Decision Perspective
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Beschreibung
This is the first text to examine the use of statistical methods inforensic science and bayesian statistics in combination.
The book is split into two parts: Part One concentrates on thephilosophies of statistical inference. Chapter One examines thedifferences between the frequentist, the likelihood and theBayesian perspectives, before Chapter Two explores the Bayesiandecision-theoretic perspective further, and looks at the benefitsit carries.
Part Two then introduces the reader to the practical aspectsinvolved: the application, interpretation, summary and presentationof data analyses are all examined from a Bayesiandecision-theoretic perspective. A wide range of statisticalmethods, essential in the analysis of forensic scientific data isexplored. These include the comparison of allele proportions inpopulations, the comparison of means, the choice of sampling size,and the discrimination of items of evidence of unknown origin intopredefined populations.
Throughout this practical appraisal there are a wide variety ofexamples taken from the routine work of forensic scientists. Theseapplications are demonstrated in the ever-more popular R language.The reader is taken through these applied examples in astep-by-step approach, discussing the methods at each stage.
Autor*in
Franco Taroni
Themen in »Data Analysis in Forensic Science«
Analytische Chemie / Forensik Angewandte Wahrscheinlichkeitsrechnung u. Statistik Applied Probability & Statistics Bayesian Analysis Bayes-Verfahren Biowissenschaften Chemie Chemistry Datenanalyse Forensic Science Forensics Forensik Forensische Wissenschaft Life Sciences Statistics