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Synopsis
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.
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Review
'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
Book Description
Drawing on extensive experience, 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 with decision making is highlighted.
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- PublisherCambridge University Press
- Publication date2001
- ISBN 10 0521773202
- ISBN 13 9780521773201
- BindingHardcover
- LanguageEnglish
- Number of pages414
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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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Probabilistic Risk Analysis: Foundations and Methods
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Probabilistic Risk Analysis
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Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521773201
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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 13: 9780521773201
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