The Evidential Foundations of Probalistic Reasoning

Author:   David A. Schum
Publisher:   Northwestern University Press
ISBN:  

9780810118218


Pages:   568
Publication Date:   31 January 2001
Format:   Paperback
Availability:   In Print   Availability explained
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The Evidential Foundations of Probalistic Reasoning


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Overview

No matter how irrefutable it may seem, evidence is often a matter of interpretation. Incomplete, inconclusive, imprecise, or vague, it is nonetheless the basis of myriad everyday conclusions and decisions. In this authoritative work, David A. Schum develops a general theory of evidence as it is understood and applied across a broad range of disciplines and practical undertakings. Synthesizing insights from law, philosophy and logic, probability, semiotics, artificial intelligence, psychology, and history, Schum provides a detailed examination of the various properties and uses of evidence and the evaluative skills evidence requires. Along with the evidential subtleties of probabilistic reasoning, Schum also explores the processes by which evidence is generated or discovered and looks at the intellectual and practical underpinnings of probabilistic reasoning. It is a useful resourse for students, researchers, and practitioners of every discipline concerned with evidence and its inferential use.

Full Product Details

Author:   David A. Schum
Publisher:   Northwestern University Press
Imprint:   Northwestern University Press
Dimensions:   Width: 15.30cm , Height: 2.90cm , Length: 22.90cm
Weight:   0.781kg
ISBN:  

9780810118218


ISBN 10:   0810118211
Pages:   568
Publication Date:   31 January 2001
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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David A. Schum is a professor of law and information technology and engineering at George Mason University. He is coauthor of A Probabilistic Analysis of the Sacco and Vanzetti Evidence and the coeditor of Decision Science and Technology: Reflections on the Contributions of Ward Edwards.

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