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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...
The first edition of Statistics and the Evaluation of Evidence for Forensic Scientists established itself as a highly regarded authority on this area. Fully revised and updated, the second edition provides significant new material on areas of current interest including: Glass Interpretation Fibres Interpretation Bayes’ Nets The title presents comprehensive coverage of the statistical evaluation of forensic evidence. It is written with the assumption of a modest mathematical background and is illustrated throughout with up-to-date examples from a forensic science background. The clarity of exposition makes this book ideal for all forensic scientists, lawyers and other professionals in related fields interested in the quantitative assessment and evaluation of evidence. 'There can be no doubt that the appreciation of some evidence in a court of law has been greatly enhanced by the sound use of statistical ideas and one can be confident that the next decade will see further developments, during which time this book will admirably serve those who have cause to use statistics in forensic science.' D.V. Lindley
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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 ...
Now in its second edition, Forensic DNA Evidence Interpretation is the most comprehensive resource for DNA casework available today. Written by leaders in the fields of biology and statistics, including a contribution from Peter Gill, the father of DNA analysis, the book emphasizes the interpretation of test results and provides the necessary formulae in an easily accessible manner. This latest edition is fully updated and includes current and emerging techniques in this fast-moving field. The book begins by reviewing all pertinent biology, and then provides information on every aspect of DNA analysis. This includes modern interpretation methods and contemporary population genetic models ava...
Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life case studies drawn from a range of fields including medicine, computing, natural sciences and engineering. Designed to help analysts, engineers, scientists and professionals taking part in complex decision processes to successfully implement Bayesian networks, this book equi...
In Redressing Miscarriages of Justice (2nd ed.) Geert-Jan Alexander Knoops offers an extensive review of the (procedural) mechanisms available in different (international) criminal law systems, in order to prevent and redress miscarriages of justice. The mechanisms will be illustrated on the basis of the causes of miscarriages of justice. Disclosure deficiencies, false confessions, eyewitness misidentification and (fraudulent) forensic sciences are all topics that pass in review. The new chapter to this 2nd edition gives particular insight from a defence perspective; it delves into the issue of challenging and investigating forensic “science” reports and is illustrated with some vivid case examples. The book is essential to everyone studying and challenging wrongful convictions, since it combines both procedures and causes.
Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty. This book focuses on classification--allocating objects into categories--"in the wild," in real-world situations and far from the certainty of the lab. In the wild, unlike in typical psychological experiments, the future is not knowable and uncertainty cannot be meaningfully reduced to probability. Connecting the science of heuristics with machine learning, the book shows how to create formal models using classification rules that are simple, fast, and transparent and that can be as accurate as mathematically sophisticated algorithms developed for machine learning.
This innovative work builds on Huff and Killias’ earlier publication (2008), but is broader and more thoroughly comparative in a number of important ways: (1) while focusing heavily on wrongful convictions, it places the subject of wrongful convictions in the broader contextual framework of miscarriages of justice and provides discussions of different types of miscarriages of justice that have not previously received much scholarly attention by criminologists; (2) it addresses, in much greater detail, the questions of how, and how often, wrongful convictions occur; (3) it provides more in-depth consideration of the role of forensic science in helping produce wrongful convictions and in hel...
Completely updated for its Fourth Edition, this book is the most comprehensive, current review of the molecular and genetic basis of neurologic and psychiatric diseases. More than 120 leading experts provide a fresh, new assessment of recent molecular, genetic, and genomic advances, offer new insights into disease pathogenesis, describe the newest available therapies, and explore promising areas of therapeutic development. This edition features an updated section on psychiatric disease and expanded, updated chapters on human genomics, gene therapy, and ethical issues. Six new chapters cover congenital myasthenic syndromes, hereditary spastic paraplegia, ion channel disorders, the phakomatoses, beta-galactosidase deficiency, and prion diseases. A Neurologic Gene Map describes the chromosome locus of all the genetic diseases and their gene product where known. The fully searchable online text will be available on a companion Website. (www.rosenbergneuroandpsychdisease.com)