Probabilistic Risk Analysis and Bayesian Decision Theory

Probabilistic Risk Analysis and Bayesian Decision Theory - SpringerBriefs in Statistics

Paperback (24 Nov 2022)

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Publisher's Synopsis

The book shows how risk, defined as the statistical expectation of loss, can be formally decomposed as the product of two terms: hazard probability and system vulnerability. This requires a specific definition of vulnerability that replaces the many fuzzy definitions abounding in the literature. The approach is expanded to more complex risk analysis with three components rather than two, and with various definitions of hazard. Equations are derived to quantify the uncertainty of each risk component and show how the approach relates to Bayesian decision theory. Intended for statisticians, environmental scientists and risk analysts interested in the theory and application of risk analysis, this book provides precise definitions, new theory, and many examples with full computer code. The approach is based on straightforward use of probability theory which brings rigour and clarity. Only a moderate knowledge and understanding of probability theory is expected from the reader.

Book information

ISBN: 9783031163326
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
DEWEY: 519.542
DEWEY edition: 23
Language: English
Number of pages: 114
Weight: 191g
Height: 235mm
Width: 155mm
Spine width: 7mm