Introduction and Definitions. Elements of Risk Assessment. Probabilistic Risk Assessment. Performance Assessment: Data and Modeling. Uncertainty Analysis. Identifying, Ranking, and Predicting Contributors to Risk. Risk Acceptance Criteria. Decision Making Techniques. Risk Communication.
Mohammad Modarres
“… this book contains the most used procedures and practices
particularly in conducting probabilistic risk assessments of
complex systems such nuclear power plants. One of the special
feature of this gook is the inclusion of several worked out
examples in the text and also a large number of exercises at the
end of each chapters. This feature makes it very useful for the
undergraduate, graduate students, who would like to study the
subject of risk modeling, assessment and management as a part of
their curricula. … the reviewer would like to recommend this book
to all those practicing engineers, students, teachers, and
researchers, who would like to make in depth study of the
probabilistic risk assessment and associated problems and are
looking for their solutions. This is a most comprehensive treatment
of the subject.”
— K. B. Misra, in International Journal of Performability
Engineering, (IJPE), July 2006
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