Modelling under risk and uncertainty: an introduction to statistical, phenomenological and computational methods
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Chichester, West Sussex, U.K.
Wiley
2012
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| Subjects: | |
| Item Description: | 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"-- |
| Physical Description: | 1 Online-Ressource (xxxviii, 434 p.) |
| ISBN: | 9780470695142 9781119969501 |
Staff View
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| 500 | |a Includes bibliographical references and index | ||
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| 533 | |a Online-Ausgabe |n Available via World Wide Web | ||
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Industrial management / Mathematical models | |
| 650 | 4 | |a Uncertainty / Mathematical models | |
| 650 | 4 | |a Risk management / Mathematical models | |
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| author | Rocquigny, Etienne de |
| author_facet | Rocquigny, Etienne de |
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| dewey-search | 338.501/5195 |
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| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV040868862 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:34:25Z |
| institution | BVB |
| isbn | 9780470695142 9781119969501 |
| language | English |
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| psigel | ZDB-38-EBR |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Wiley |
| record_format | marc |
| spelling | Rocquigny, Etienne de Verfasser aut Modelling under risk and uncertainty an introduction to statistical, phenomenological and computational methods Etienne de Rocquigny Chichester, West Sussex, U.K. Wiley 2012 1 Online-Ressource (xxxviii, 434 p.) txt rdacontent c rdamedia cr rdacarrier 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"-- Online-Ausgabe Available via World Wide Web Mathematisches Modell Industrial management / Mathematical models Uncertainty / Mathematical models Risk management / Mathematical models Reproduktion von Rocquigny, Etienne de Modelling under risk and uncertainty 2012 |
| spellingShingle | Rocquigny, Etienne de Modelling under risk and uncertainty an introduction to statistical, phenomenological and computational methods Mathematisches Modell Industrial management / Mathematical models Uncertainty / Mathematical models Risk management / Mathematical models |
| title | Modelling under risk and uncertainty an introduction to statistical, phenomenological and computational methods |
| title_auth | Modelling under risk and uncertainty an introduction to statistical, phenomenological and computational methods |
| title_exact_search | Modelling under risk and uncertainty an introduction to statistical, phenomenological and computational methods |
| title_full | Modelling under risk and uncertainty an introduction to statistical, phenomenological and computational methods Etienne de Rocquigny |
| title_fullStr | Modelling under risk and uncertainty an introduction to statistical, phenomenological and computational methods Etienne de Rocquigny |
| title_full_unstemmed | Modelling under risk and uncertainty an introduction to statistical, phenomenological and computational methods Etienne de Rocquigny |
| title_short | Modelling under risk and uncertainty |
| title_sort | modelling under risk and uncertainty an introduction to statistical phenomenological and computational methods |
| title_sub | an introduction to statistical, phenomenological and computational methods |
| topic | Mathematisches Modell Industrial management / Mathematical models Uncertainty / Mathematical models Risk management / Mathematical models |
| topic_facet | Mathematisches Modell Industrial management / Mathematical models Uncertainty / Mathematical models Risk management / Mathematical models |
| work_keys_str_mv | AT rocquignyetiennede modellingunderriskanduncertaintyanintroductiontostatisticalphenomenologicalandcomputationalmethods |