Probabilistic Risk Analysis

Foundations and Methods

By: Tim Bedford, Roger Cooke

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Hardcover | 18 June 2001

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414 Pages

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24.41 x 16.99 x 2.39

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Probabilistic risk analysis aims to quantify the risk caused by high technology installations. Increasingly, such analyses are being applied to a wider class of systems in which problems such as lack of data, complexity of the systems, uncertainty about consequences, make a classical statistical analysis difficult or impossible. The authors discuss 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 judgement and uncertainty propagation. The relationship of risk analysis with decision making is highlighted in chapters on influence diagrams and decision theory. Finally, the difficulties of choosing metrics to quantify risk, and current regulatory frameworks are discussed.

Industry Reviews

'This is a valuable reference book ... devoid of unnecessary repetition of what has been written earlier by other authors. The book is fresh, neat and comprehensive. I highly recommend it.' Igor Kozine, Risk Decision and Policy 'The presentation is to the point, clear and perfectly highlighted through well chosen practical examples and exercises ... I for one learned a lot from reading this book and whole-heartedly recommend it for its intended readership.' P. A. L. Embrechts, Short Book Reviews '... a text of enormous coverage.' The Mathematical Gazette

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Introduction
Probabilistic risk analysis
Theoretical Issues and Background
What is uncertainty? 3. Probabilistic methods
Statistical inference
Weibull analysis
System Analysis and Quantification
Fault and event trees
Fault trees - analysis
Dependent failures
Reliability data bases
Expert opinion
Human reliability
Software reliability
Uncertainty Modeling and Risk Measurement
Decision theory
Influence diagrams and belief nets
Project risk management
Probabilistic inversion
Uncertainty analysis
Risk measurement and regulation
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.

Probabilistic Risk Analysis

Foundations and Methods

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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