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Quantitative risk assessment :the sc...

Aven, T.

Quantitative risk assessment :the scientific platform /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Quantitative risk assessment :Terje Aven.
其他題名:	the scientific platform /
作者:	Aven, T.
出版者:	Cambridge ;Cambridge University Press,2011.
面頁冊數:	xi, 211 p. :ill. ;26 cm.
附註:	Machine generated contents note: Preface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index.
標題:	Decision makingStatistical methods.
ISBN:	0521760577 (hardback) :

Quantitative risk assessment :the scientific platform /
Aven, T.

Quantitative risk assessment :the scientific platform /Terje Aven. - Cambridge ;Cambridge University Press,2011. - xi, 211 p. :ill. ;26 cm.

Machine generated contents note: Preface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index.

Includes bibliographical references (p. 200-209) and index.

Machine generated contents note: Preface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index.

"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"--

ISBN: 0521760577 (hardback) :NT$1477

LCCN: 2010037661

Nat. Bib. No.: GBB0B3879bnb

Nat. Bib. Agency Control No.: 015654324UkSubjects--Topical Terms:

208497
Decision making
--Statistical methods.

LC Class. No.: QA273 / .A93 2011

Dewey Class. No.: 519.2/87

Quantitative risk assessment :the scientific platform /
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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 xi, 211 p. : $b ill. ; $c 26 cm.
500 $a Machine generated contents note: Preface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index.
504 $a Includes bibliographical references (p. 200-209) and index.
505 8 $a Machine generated contents note: Preface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index.
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.
650 0 $a Decision making $x Statistical methods. $3 208497
650 0 $a Probabilities. $3 182046
650 0 $a Risk assessment $x Statistical methods. $3 208496