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Showing 1 - 4 of 4 matches in All Departments

Handbook on Evaluation - A Guide for capacity Building on Evaluation (Hardcover): Cgg Handbook on Evaluation - A Guide for capacity Building on Evaluation (Hardcover)
Cgg
R790 Discovery Miles 7 900 Ships in 12 - 17 working days
Managing Evaluations - A Step-by-Step Guide (Hardcover): Cgg Managing Evaluations - A Step-by-Step Guide (Hardcover)
Cgg
R773 Discovery Miles 7 730 Ships in 12 - 17 working days
The Use Of Statistics In Forensic Science (Hardcover): C. G. G. Aitken, David A. Stoney The Use Of Statistics In Forensic Science (Hardcover)
C. G. G. Aitken, David A. Stoney
R6,270 Discovery Miles 62 700 Ships in 12 - 17 working days

The main purpose of this book is to describe ways of assessing forensic science evidence and the means of communicating this assessment to a court of law. A clear exposition of probability from the Bayesian perspective is provided. The underlying theme of the book is the emphasis on the importance, for the assessment of the value of associative evidence linking a suspect and a crime scene, or the comparison of two probabilities, the first being that of the evidence if the suspect is guilty, the second being that of the evidence if the suspect is innocent. Edited as a joint venture between a statistician and a forensic scientist, contributions from leading researchers in the area have been brought together. Technical expressions are kept to a minimum, with those wanting more information on a particular statistical test being referred to standard textbooks as and when necessary. The editor's aim is to ensure that proper attention is placed on the courts to consideration of the probability of the evidence of association if the suspect is innocent as well as to this probability if the suspect is guilty. The work is intended for forensic science practitioners, legal practitioners, stati

Statistics and the Evaluation of Evidence for Forensic Scientists 3e (Hardcover, 3rd Edition): C. G. G. Aitken Statistics and the Evaluation of Evidence for Forensic Scientists 3e (Hardcover, 3rd Edition)
C. G. G. Aitken
R3,018 Discovery Miles 30 180 Ships in 12 - 17 working days

Statistics and the Evaluation of Evidence for Forensic Scientists The leading resource in the statistical evaluation and interpretation of forensic evidence The third edition of Statistics and the Evaluation of Evidence for Forensic Scientists is fully updated to provide the latest research and developments in the use of statistical techniques to evaluate and interpret evidence. Courts are increasingly aware of the importance of proper evidence assessment when there is an element of uncertainty. Because of the increasing availability of data, the role of statistical and probabilistic reasoning is gaining a higher profile in criminal cases. That's why lawyers, forensic scientists, graduate students, and researchers will find this book an essential resource, one which explores how forensic evidence can be evaluated and interpreted statistically. It's written as an accessible source of information for all those with an interest in the evaluation and interpretation of forensic scientific evidence. Discusses the entire chain of reasoning-from evidence pre-assessment to court presentation; Includes material for the understanding of evidence interpretation for single and multiple trace evidence; Provides real examples and data for improved understanding. Since the first edition of this book was published in 1995, this respected series has remained a leading resource in the statistical evaluation of forensic evidence. It shares knowledge from authors in the fields of statistics and forensic science who are international experts in the area of evidence evaluation and interpretation. This book helps people to deal with uncertainty related to scientific evidence and propositions. It introduces a method of reasoning that shows how to update beliefs coherently and to act rationally. In this edition, readers can find new information on the topics of elicitation, subjective probabilities, decision analysis, and cognitive bias, all discussed in a Bayesian framework.

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