Modelling under risk and uncertainty [electronic resource] : an introduction to statistical, phenomenological and computational methods / Etienne de Rocquigny.
Material type:
TextSeries: Wiley series in probability and statisticsPublication details: Chichester, West Sussex, U.K. : Wiley, 2012Description: xxxviii, 434 p. : illISBN: 9781119969501 (electronic bk.)Subject(s): Industrial management -- Mathematical models | Uncertainty -- Mathematical models | Risk management -- Mathematical modelsGenre/Form: Electronic books.DDC classification: 338.501/5195 LOC classification: HD30.25 | .R63 2012Online resources: Click to View Summary: "This volume addresses a concern of very high relevance and growing interest for large industries or environmentalists: risk and uncertainty in complex systems. It gives new insight on the peculiar mathematical challenges generated by recent industrial safety or environmental control analysis, focusing on implementing decision theory choices related to risk and uncertainty analysis through statistical estimation and computation, in the presence of physical modeling and risk analysis. The result will lead statisticians and associated professionals to formulate and solve new challenges at the frontier between statistical modeling, physics, scientific computing, and risk analysis"-- Provided by publisher.
Includes bibliographical references and index.
"This volume addresses a concern of very high relevance and growing interest for large industries or environmentalists: risk and uncertainty in complex systems. It gives new insight on the peculiar mathematical challenges generated by recent industrial safety or environmental control analysis, focusing on implementing decision theory choices related to risk and uncertainty analysis through statistical estimation and computation, in the presence of physical modeling and risk analysis. The result will lead statisticians and associated professionals to formulate and solve new challenges at the frontier between statistical modeling, physics, scientific computing, and risk analysis"-- Provided by publisher.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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