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Modelling under risk and uncertainty : an introduction to statistical, phenomenological and computational methods /

"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,...

Description complète

Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Rocquigny, Etienne de
Format: Électronique eBook
Langue:Inglés
Publié: Chichester, West Sussex, U.K. : Wiley, 2012.
Sujets:
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Description
Résumé:"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"--
Description matérielle:1 online resource (xxxviii, 434 pages) : illustrations
Bibliographie:Includes bibliographical references and index.
ISBN:9781119969501
1119969506
9781119941651
1119941652
0470695145
9780470695142