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Probabilistic Risk Analysis and Bayesian Decision Theory (SpringerBriefs in Statistics) - Softcover

 
9783031163326: Probabilistic Risk Analysis and Bayesian Decision Theory (SpringerBriefs in Statistics)
  • PublisherSpringer
  • Publication date2022
  • ISBN 10 303116332X
  • ISBN 13 9783031163326
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages128

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 expandedto more complex risk analysis with three components rather than two, and with various definitions of hazard.Equations are derived to quantifythe 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. 128 pp. Englisch. Seller Inventory # 9783031163326

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 expandedto more complex risk analysis with three components rather than two, and with various definitions of hazard.Equations are derived to quantifythe 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. Seller Inventory # 9783031163326

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