Items related to Probabilistic Risk Analysis: Foundations and Methods
Synopsis
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...
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...
Review
"This is a valuable reference book for engineers, researchers and Ph.D. students...The book is fresh, neat, and comprehensive. I highly recommend it." Risk Decision and Policy
"...an excellent basis for an undergraduate course, well equipped with a wealth of real-life examples and exercises. Practitioners and decision makers will also benefit...The text can be recommended as an important contribution to bridge the gap between those working in mathematical reliability, who are looking...
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- PublisherCambridge University Press
- Publication date2001
- ISBN 10 0521773202
- ISBN 13 9780521773201
- BindingHardcover
- LanguageEnglish
- Number of pages414
- Rating
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Probabilistic Risk Analysis: Foundations and Methods
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Probabilistic Risk Analysis: Foundations and Methods
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Probabilistic Risk Analysis: Foundations and Methods
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Probabilistic Risk Analysis: Foundations and Methods
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Probabilistic Risk Analysis: Foundations and Methods
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Probabilistic Risk Analysis: Foundations and Methods
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ISBN 10: 0521773202
ISBN 13: 9780521773201
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