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Probabilistic Risk Analysis and Bayesian Decision Theory

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Probabilistic Risk Analysis and Bayesian Decision Theory/ by Marcel van Oijen, Mark Brewer.
作者:	van Oijen, Marcel.
其他作者:	Brewer, Mark.
面頁冊數:	XIII, 114 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Bayesian Inference. -
電子資源:	https://doi.org/10.1007/978-3-031-16333-3
ISBN:	9783031163333

Probabilistic Risk Analysis and Bayesian Decision Theory
van Oijen, Marcel.

Probabilistic Risk Analysis and Bayesian Decision Theory[electronic resource] /by Marcel van Oijen, Mark Brewer. - 1st ed. 2022. - XIII, 114 p. 1 illus.online resource. - SpringerBriefs in Statistics,2191-5458. - SpringerBriefs in Statistics,0.

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.

ISBN: 9783031163333

Standard No.: 10.1007/978-3-031-16333-3doiSubjects--Topical Terms:

1211345
Bayesian Inference.

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Probabilistic Risk Analysis and Bayesian Decision Theory
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