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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,...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex, U.K. :
Wiley,
2012.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Rocquigny, Etienne de. | |
| 245 | 1 | 0 | |a Modelling under risk and uncertainty : |b an introduction to statistical, phenomenological and computational methods / |c Etienne de Rocquigny. |
| 246 | 3 | |a Modeling under risk and uncertainty | |
| 260 | |a Chichester, West Sussex, U.K. : |b Wiley, |c 2012. | ||
| 300 | |a 1 online resource (xxxviii, 434 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 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 | ||
| 505 | 0 | |a Applications and practices of modelling, risk and uncertainty -- A generic modelling framework -- A generic tutorial example: natural risk in an industrial installation -- Understanding natures of uncertainty, risk margins and time bases for probabilistic decision-making -- Direct statistical estimation techniques -- Combined model estimation through inverse techniques -- Computational methods for risk and uncertainty propagation -- Optimising under uncertainty: economics and computational challenges -- Conclusion: perspectives of modelling in the context of risk and uncertainty and further research. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Industrial management |x Mathematical models. | |
| 650 | 0 | |a Uncertainty |x Mathematical models. | |
| 650 | 0 | |a Risk management |x Mathematical models. | |
| 650 | 6 | |a Gestion d'entreprise |x Modèles mathématiques. | |
| 650 | 6 | |a Gestion du risque |x Modèles mathématiques. | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Industrial management |x Mathematical models |2 fast | |
| 650 | 7 | |a Risk management |x Mathematical models |2 fast | |
| 650 | 7 | |a Uncertainty |x Mathematical models |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Rocquigny, Etienne de. |t Modelling under risk and uncertainty. |d Hoboken, NJ : Wiley, 2012 |z 9780470695142 |w (DLC) 2011046726 |w (OCoLC)769991357 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781119941651/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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