Forensic Interpretation of Glass Evidence
Intended for forensic scientists and students of the discipline, Forensic Interpretation of Glass Evidence provides the practicing forensic scientist with the necessary statistical tools and methodology to introduce forensic glass evidence into the laboratory. With free software available for downloading at the author's Web site, scientists can apply their own data and draw conclusions using principles practiced in the text.
This book contains an introductory chapter on glass evidence procedures and analysis before covering topics such as classical approaches to handling glass evidence, the application of Bayesian statistics to forensic science, and the use of histograms.
By presenting both the physical and chemical examinations performed on glass along with a recommended interpretation, the author allows readers the luxury of having all reference materials contained within a single book. Useful for case-working forensic scientists, this book is ideal for students of forensic science at both the undergraduate and graduate levels, as well anyone currently working in the field.
1101594518
Forensic Interpretation of Glass Evidence
Intended for forensic scientists and students of the discipline, Forensic Interpretation of Glass Evidence provides the practicing forensic scientist with the necessary statistical tools and methodology to introduce forensic glass evidence into the laboratory. With free software available for downloading at the author's Web site, scientists can apply their own data and draw conclusions using principles practiced in the text.
This book contains an introductory chapter on glass evidence procedures and analysis before covering topics such as classical approaches to handling glass evidence, the application of Bayesian statistics to forensic science, and the use of histograms.
By presenting both the physical and chemical examinations performed on glass along with a recommended interpretation, the author allows readers the luxury of having all reference materials contained within a single book. Useful for case-working forensic scientists, this book is ideal for students of forensic science at both the undergraduate and graduate levels, as well anyone currently working in the field.
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Forensic Interpretation of Glass Evidence

Forensic Interpretation of Glass Evidence

Forensic Interpretation of Glass Evidence

Forensic Interpretation of Glass Evidence

Hardcover(New Edition)

$290.00 
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Overview

Intended for forensic scientists and students of the discipline, Forensic Interpretation of Glass Evidence provides the practicing forensic scientist with the necessary statistical tools and methodology to introduce forensic glass evidence into the laboratory. With free software available for downloading at the author's Web site, scientists can apply their own data and draw conclusions using principles practiced in the text.
This book contains an introductory chapter on glass evidence procedures and analysis before covering topics such as classical approaches to handling glass evidence, the application of Bayesian statistics to forensic science, and the use of histograms.
By presenting both the physical and chemical examinations performed on glass along with a recommended interpretation, the author allows readers the luxury of having all reference materials contained within a single book. Useful for case-working forensic scientists, this book is ideal for students of forensic science at both the undergraduate and graduate levels, as well anyone currently working in the field.

Product Details

ISBN-13: 9780849300691
Publisher: Taylor & Francis
Publication date: 06/27/2000
Edition description: New Edition
Pages: 178
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

James Michael Curran, Tacha Natalie Hicks Champod, John S. Buckleton

Table of Contents

Glass Examination. The Conventional Approach to Evidence Interpretation. The Bayesian Approach to Glass Evidence. Glass Found at Random and Frequency. Transfer and Persistence Studies. Statistical Tools and Software. Applying the Bayesian Approach to Casework.
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