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,...

Повний опис

Збережено в:
Бібліографічні деталі
Автор: Rocquigny, Etienne de
Співавтор: ebrary, Inc
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Chichester, West Sussex, U.K. : Wiley, 2012.
Серія:Wiley series in probability and statistics.
Предмети:
Онлайн доступ:An electronic book accessible through the World Wide Web; click to view
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100 1 |a Rocquigny, Etienne de. 
245 1 0 |a Modelling under risk and uncertainty  |h [electronic resource] :  |b an introduction to statistical, phenomenological and computational methods /  |c Etienne de Rocquigny. 
260 |a Chichester, West Sussex, U.K. :  |b Wiley,  |c 2012. 
300 |a xxxviii, 434 p. :  |b ill. 
490 1 |a Wiley series in probability and statistics 
504 |a Includes bibliographical references and index. 
520 |a "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"--  |c Provided by publisher. 
533 |a Electronic reproduction.  |b Palo Alto, Calif. :  |c ebrary,  |d 2013.  |n Available via World Wide Web.  |n Access may be limited to ebrary affiliated libraries. 
650 0 |a Industrial management  |x Mathematical models. 
650 0 |a Uncertainty  |x Mathematical models. 
650 0 |a Risk management  |x Mathematical models. 
655 7 |a Electronic books.  |2 local 
710 2 |a ebrary, Inc. 
830 0 |a Wiley series in probability and statistics. 
856 4 0 |u http://site.ebrary.com/lib/daystar/Doc?id=10558805  |z An electronic book accessible through the World Wide Web; click to view 
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