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Probabilistic Risk Analysis and Bayesian Decision Theory (SpringerBriefs in Statistics) [9783031163326]

Paperback
SKU: 9783031163326
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Format Lightweight and affordable. Perfect for student groups and classrooms, and a versatile option for corporate trainings, team reads, or large-scale events.

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Overview

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.

The book, Probabilistic Risk Analysis and Bayesian Decision Theory (SpringerBriefs in Statistics) [Bulk, Wholesale, Quantity] ISBN#9783031163326 in Paperback by Marcel van Oijen, Mark Brewer may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:
Marcel van Oijen Mark Brewer
Format:
Paperback
Publication Date:
11/24/2022
ISBN-13:
9783031163326
Pages:
114
Publisher:
Springer International Publishing

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