Probability Theory and Circumstantial Evidence

Probability Theory and Circumstantial Evidence PDF Author: Daniel Stripinis
Publisher:
ISBN:
Category : Evidence (Law)
Languages : en
Pages : 56

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Book Description

Probability Theory and Circumstantial Evidence

Probability Theory and Circumstantial Evidence PDF Author: Daniel Stripinis
Publisher:
ISBN:
Category : Evidence (Law)
Languages : en
Pages : 56

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Book Description


Probability and the Weighing of Evidence

Probability and the Weighing of Evidence PDF Author: Irving John Good
Publisher:
ISBN:
Category : Probabilities
Languages : en
Pages : 136

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A Probabilistic Analysis of the Sacco and Vanzetti Evidence

A Probabilistic Analysis of the Sacco and Vanzetti Evidence PDF Author: Joseph B. Kadane
Publisher: John Wiley & Sons
ISBN: 1118186443
Category : Mathematics
Languages : en
Pages : 392

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Book Description
A Probabilistic Analysis of the Sacco and Vanzetti Evidence is aBayesian analysis of the trial and post-trial evidence in the Saccoand Vanzetti case, based on subjectively determined probabilitiesand assumed relationships among evidential events. It applies theideas of charting evidence and probabilistic assessment to thiscase, which is perhaps the ranking cause celebre in all of Americanlegal history. Modern computation methods applied to inferencenetworks are used to show how the inferential force of evidence ina complicated case can be graded. The authors employ probabilisticassessment to obtain opinions about how influential each group ofevidential items is in reaching a conclusion about the defendants'innocence or guilt. A Probabilistic Analysis of the Sacco and Vanzetti Evidence holdsparticular interest for statisticians and probabilists in academiaand legal consulting, as well as for the legal community,historians, and behavioral scientists. It combines structural andprobabilistic ideas in the analysis of masses of evidence fromevery recognized logical species of evidence. Twenty-eight chartsshow the chains of reasoning in defense of the relevance ofevidentiary matters and a listing of trial witnesses who providedthe evidence. References include nearly 300 items drawn from thefields of probability theory, history, law, artificialintelligence, psychology, literature, and other areas.

Statistics and the Evaluation of Evidence for Forensic Scientists

Statistics and the Evaluation of Evidence for Forensic Scientists PDF Author: Colin Aitken
Publisher: John Wiley & Sons
ISBN: 1119245257
Category : Mathematics
Languages : en
Pages : 1248

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Book Description
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.

Probability and Forensic Evidence

Probability and Forensic Evidence PDF Author: Ronald Meester
Publisher: Cambridge University Press
ISBN: 1108428274
Category : Law
Languages : en
Pages : 455

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Book Description
A self-contained examination of all aspects of statistical evidence evaluation in forensic science, from theory to concrete applications.

Risk and the English Novel

Risk and the English Novel PDF Author: Julia Hoydis
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 311061541X
Category : Literary Criticism
Languages : en
Pages : 674

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Book Description
Taking the cue from the currency of risk in popular and interdisciplinary academic discourse, this book explores the development of the English novel in relation to the emergence and institutionalization of risk, from its origins in probability theory in the late seventeenth century to the global ‘risk society’ in the twenty-first century. Focussing on 29 novels from Defoe to McEwan, this book argues for the contemporaneity of the rise of risk and the novel and suggests that there is much to gain from reading the risk society from a diachronic, literary-cultural perspective. Tracing changes and continuities, the fictional case studies reveal the human preoccupation with safety and control of the future. They show the struggle with uncertainties and the construction of individual or collective ‘logics’ of risk, which oscillate between rational calculation and emotion, helplessness and denial, and an enabling or destructive sense of adventure and danger. Advancing the study of risk in fiction beyond the confinement to dystopian disaster narratives, this book shows how topical notions, such as chance and probability, uncertainty and responsibility, fears of decline and transgression, all cluster around risk.

A Philosophy of Evidence Law

A Philosophy of Evidence Law PDF Author: H. L. Ho
Publisher: Oxford University Press on Demand
ISBN: 0199228302
Category : Law
Languages : en
Pages : 362

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Book Description
This book examines the legal and moral theory behind the law of evidence and proof, arguing that only by exploring the nature of responsibility in fact-finding can the role and purpose of much of the law be fully understood. Ho argues that the court must not only find the truth to do justice, it must do justice in finding the truth.

Beyond Reasonable Doubt and Probable Cause

Beyond Reasonable Doubt and Probable Cause PDF Author: Barbara J. Shapiro
Publisher: Univ of California Press
ISBN: 0520313402
Category : History
Languages : en
Pages : 384

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Book Description
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1991.

Fictions of Knowledge

Fictions of Knowledge PDF Author: Y. Batsaki
Publisher: Springer
ISBN: 0230354610
Category : Fiction
Languages : en
Pages : 247

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Book Description
Locating literature at the intersection of distinct areas of thinking on the nature, scope and methods of knowledge - philosophy, theology, science, and the law - this book engages with literary texts across periods and genres to address questions of probability, problems of evidence, the uses of experiment and the poetics and ethics of doubt.

Probability Theory

Probability Theory PDF Author: E. T. Jaynes
Publisher: Cambridge University Press
ISBN: 1139435167
Category : Science
Languages : en
Pages : 764

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Book Description
The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.