9780470998359 - Data Analysis in Forensic Science: A Bayesian Decision Perspective di Taroni, Franco; Bozza, Silvia; Biedermann, Alex; Garbolino, Paolo; Aitken, Colin (14 risultati)

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Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: new. Hardcover. 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. This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: As New. Unread book in perfect condition.

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Condizione: New. This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. 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. Series: Statistics in Practice. Num Pages: 388 pages, Illustrations. BIC Classification: JKVF; PB; PS. Category: (P) Professional & Vocational. Dimension: 235 x 162 x 26. Weight in Grams: 700. . 2010. 1st Edition. Hardcover. . . . .

Condizione: New.

Condizione: New. pp. 388.

Condizione: New. This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. 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. Series: Statistics in Practice. Num Pages: 388 pages, Illustrations. BIC Classification: JKVF; PB; PS. Category: (P) Professional & Vocational. Dimension: 235 x 162 x 26. Weight in Grams: 700. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Condizione: New. pp. 388.

Hardcover. Condizione: new. Hardcover. 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. This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. The use of formal statistical methods to analyse quantitative data in forensic science has increased considerably over the last few years. Students, researchers and practitioners in forensic science regularly ask questions concerning the relative merits of .

Hardcover. Condizione: new. Hardcover. 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. This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.