Quantitative risk assessment : the scientific platform /

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Bibliographic Details
Author / Creator:Aven, Terje.
Imprint:Cambridge ; New York : Cambridge University Press, ©2011.
Description:1 online resource (xi, 211 pages) : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11827088
Hidden Bibliographic Details
ISBN:9781139044981
1139044982
9781139042352
1139042351
9780511974120
0511974124
9781139038447
1139038443
9780521760577
0521760577
Notes:Includes bibliographical references and index.
Print version record.
Summary:"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"--
Other form:Print version: Aven, T. (Terje). Quantitative risk assessment. Cambridge ; New York : Cambridge University Press, 2011 9780521760577

MARC

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245 1 0 |a Quantitative risk assessment :  |b the scientific platform /  |c Terje Aven. 
260 |a Cambridge ;  |a New York :  |b Cambridge University Press,  |c ©2011. 
300 |a 1 online resource (xi, 211 pages) :  |b illustrations 
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520 |a "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"--  |c Provided by publisher 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction to risk management and risk assessments. Challenges -- Concepts and perspectives on risk -- Science and scientific requirements -- Introduction to case studies -- Risk assessment when the objective is accurate risk estimation -- Risk assessment when the objective is uncertainty descriptions -- Risk management and communication issues -- Towards a holistic approach to risk assessments -- Conclusions -- Appendix A. Introduction to probability theory and statistical analysis -- Appendix B. Terminology. 
588 0 |a Print version record. 
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650 7 |a Risk assessment  |x Statistical methods.  |2 fast  |0 (OCoLC)fst01098158 
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