Overview

Quantitative risk assessments cannot eliminate risk, nor can they resolve trade-offs. They can, however, guide principled risk management and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. Uncertainty is a central topic. In practice, uncertainties about inputs are rarely reflected in assessments, with the result that many safety measures are considered unjustified. Other topics include the meaning of a probability, the use of probability models, the use of Bayesian ideas and techniques, and the use of risk assessment in a practical decision-making context. Written for professionals, as well as graduate students and researchers, the book assumes basic probability, statistics and risk assessment methods. Examples make concepts concrete, and three extended case studies show the scientific framework in action.

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9780511974120

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Reviews

'... a timely topic, and a very interesting book ... It is very detailed and academically rigorous ...' Charles K. Davis, Reviews.com 'The book provides a scientific framework apt to evaluate the quality of risk assessments and in particular their flexibility to specifically required purposes ... The book gives useful tools for graduate students and researchers as well for professionals.' Zentralblatt MATH

'... a timely topic, and a very interesting book ... It is very detailed and academically rigorous ...' Charles K. Davis, Reviews.com 'The book provides a scientific framework apt to evaluate the quality of risk assessments and in particular their flexibility to specifically required purposes ... The book gives useful tools for graduate students and researchers as well for professionals.' Zentralblatt MATH This is a timely topic, and a very interesting book. This book provides a scientific underpinning for the concepts and methods of risk analysis, with a theoretical framework and terminology that provide a platform for further analysis and understanding. Charles K. Davis, Computing Reviews The work is short, yet that is its advantage. It concisely presents the material in eight well-written chapters, appended with conclusions (chapter 9) and two appendices that cover theoretical fundamentals (probability, statistical inference, and Bayesian methods) and specific risk terminology. The text provides an extensive bibliography, and is suitable for everyone interested in understanding quantitative risk analysis. Piotr Cholda, Computing Reviews There is no doubt that this is a valuable book for researcher who seek a scientific base and platform for general quantitative risk assessment. I enjoyed reading this book and would recommend it to anyone interested in quantitative risk analysis, including those interested in statistics. To sum up, this is a useful reference book on general quantitative risk assessment. Zudi Lu, Mathematical Reviews

Author Information

Terje Aven is Professor in Risk Analysis and Risk Management at the University of Stavanger, Norway, and a Principal Researcher at the International Research Institute of Stavanger (IRIS).

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