Data analysis in forensic science - A Bayesian decision perspective

Autor: Taroni

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Legare: Copertă tare

Editura: John Wiley & Sons Inc

Disponibilitate: În depozitul extern în cantități mici

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This is the first text to examine the use of statistical methods in forensic science and bayesian st...

Informații despre carte

Autor

Taroni

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2010

Pagini

388

EAN

9780470998359

ISBN

0470998350

Enbook ID

04380322

Editura

John Wiley & Sons Inc

Greutate

700

Dimensiuni

162 x 235 x 26

Descriere completă

This is the first text to examine the use of statistical methods in forensic science and bayesian statistics 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 is 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 this practical appraisal there are a wide variety of examples taken from the routine work of forensic scientists. These applications are demonstrated in the ever-more popular R language. The reader is taken through these applied examples in a step-by-step approach, discussing the methods at each stage.

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Data analysis in forensic science - A Bayesian decision perspective

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