an introduction to statistical, phenomenological and computational methods Rocquigny, Etienne de. creator ebrary, Inc text bibliography Electronic books. enk Chichester, West Sussex, U.K Wiley 2012 monographic eng

electronic

electronic resource

xxxviii, 434 p. : ill. "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"-- Etienne de Rocquigny. Includes bibliographical references and index. Electronic reproduction. Palo Alto, Calif. : ebrary, 2013. Available via World Wide Web. Access may be limited to ebrary affiliated libraries. Industrial management Mathematical models Uncertainty Mathematical models Risk management Mathematical models HD30.25 .R63 2012eb 338.501/5195 http://site.ebrary.com/lib/rucke/Doc?id=10558805 http://site.ebrary.com/lib/rucke/Doc?id=10558805 CaPaEBR 120104 ebr10558805