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Quantitative Risk Assessment The Scientific Platform

Terje Aven

1 ratings by GoodReads
ISBN 10: 0521682053 / ISBN 13: 9780521682053
Published by Cambridge University Press
New Condition: New Hardcover
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Hardcover. 224 pages. Dimensions: 9.8in. x 7.1in. x 0.7in.Quantitative risk assessments cannot eliminate risk, nor can they resolve tradeoffs. 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9780521682053

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Bibliographic Details

Title: Quantitative Risk Assessment The Scientific ...

Publisher: Cambridge University Press

Binding: Hardcover

Book Condition:New

Book Type: Hardcover

About this title

Synopsis:

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.

Review:

'? 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

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