An edition of Misconceptions of risk
(2010)
Misconceptions of risk
by T. Aven
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Subjects
Statistical methods, Risk management, Risk assessment| Edition | Availability |
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Book Details
Table of Contents
Risk is equal to the expected value
Risk is a probability or probability distribution
Risk equals a probability distribution quantile (value-at-risk)
Risk equals uncertainty
Risk is equal to an event
Risk equals expected disutility
Risk is restricted to the case of objective probabilities
Risk is the same as risk perception
Risk relates to negative consequences only
Risk is determined by the historical data
Risk assessments produce an objective risk picture
There are large inherent uncertainties in risk analyses
Model uncertainty should be quantified
It is meaningful and useful to distinguish between stochastic and epistemic uncertainties
Bayesian analysis is based on the use of probability models and Bayesian updating
Sensitivity analysis is a type of uncertainty analysis
The main objective of risk management is risk reduction
Decision-making under uncertainty should be based on science (analysis)
The precautionary principle and risk management cannot be meaningfully integrated
Conclusions.
Edition Notes
Includes bibliographical references and index.
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- Created November 9, 2010
- 1 revision
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| November 9, 2010 | Created by ImportBot | Imported from Library of Congress MARC record |