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.
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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.
"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 for real-life examples, and those in eonomic risk analysis, who are looking for a readable treatment of the foundational concepts." JASA
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Paperback. Condition: Very Good. 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # GOR005361470
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