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Probabilistic Risk Analysis: Foundations and Methods

Probabilistic Risk Analysis: Foundations and Methods

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Authors: Tim Bedford, Roger Cooke
Publisher: Cambridge University Press
Category: Book

List Price: $95.00
Buy New: $70.00
You Save: $25.00 (26%)



New (19) Used (9) from $65.96

Rating: 5.0 out of 5 stars 1 reviews
Sales Rank: 551573

Media: Hardcover
Edition: 1
Pages: 414
Number Of Items: 1
Shipping Weight (lbs): 1.8
Dimensions (in): 9.8 x 6.8 x 1

ISBN: 0521773202
Dewey Decimal Number: 620.004520151
EAN: 9780521773201

Publication Date: April 30, 2001
Availability: Usually ships in 1-2 business days

Similar Items:

  • Risk Analysis: A Quantitative Guide
  • Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis
  • Risk Assessment And Decision Making In Business And Industry: A Practical Guide - Second Edition
  • Risk Modeling, Assessment, and Management (Wiley Series in Systems Engineering and Management)
  • Foundations of Risk Analysis: A Knowledge and Decision-Oriented Perspective

Editorial Reviews:

Product Description
Probabilistic risk analysis aims to quantify the risk caused by high technology installations in situations where classical statistical analysis is difficult or impossible. This book discusses the fundamental notion of uncertainty, its relationship with probability, and the limits to the quantification of uncertainty. Drawing on extensive experience in the theory and applications of risk analysis, the authors focus on the conceptual and mathematical foundations underlying the quantification, interpretation and management of risk. They cover standard topics as well as important new subjects such as the use of expert judgment and uncertainty propagation.

Book Description
Probabilistic risk analysis is applied in many areas of engineering. This book focuses on the conceptual and mathematical foundations of risk analysis. It differs from other books in this area first by discussing the meaning of uncertainty, and the extent to which one can use mathematical tools to model uncertainty. Second, a number of new modelling techniques are described. Finally, there is a good discussion of methods for quantifying the parameters in mathematical models, even where there is no 'classical' data available, by the use of expert judgement.


Customer Reviews:

5 out of 5 stars I recommend!   January 11, 2007
Raymundo J. S. Torres (Salvador da Bahia, Bahia Brazil)
0 out of 8 found this review helpful

A very clear text, what is not usual in this kind of book.

 
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