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EBC894821 |
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MiAaPQ |
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20200520144314.0 |
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120104s2012 enkad sb 001 0 eng d |
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|z 2011046726
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|z 9780470695142 (hardback)
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|a 9781119969501 (electronic bk.)
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|a (MiAaPQ)EBC894821
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|a (Au-PeEL)EBL894821
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|a (CaPaEBR)ebr10558805
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|a (CaONFJC)MIL361904
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|a (OCoLC)787843750
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|a MiAaPQ
|c MiAaPQ
|d MiAaPQ
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|a HD30.25
|b .R63 2012
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|a 338.501/5195
|2 23
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100 |
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|a Rocquigny, Etienne de.
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245 |
1 |
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|a Modelling under risk and uncertainty
|h [electronic resource] :
|b an introduction to statistical, phenomenological and computational methods /
|c Etienne de Rocquigny.
|
260 |
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|a Chichester, West Sussex, U.K. :
|b Wiley,
|c 2012.
|
300 |
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|a xxxviii, 434 p. :
|b ill.
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490 |
1 |
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|a Wiley series in probability and statistics
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504 |
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|a Includes bibliographical references and index.
|
520 |
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|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 |
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|a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest 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 |
|
4 |
|a Electronic books.
|
710 |
2 |
|
|a ProQuest (Firm)
|
830 |
|
0 |
|a Wiley series in probability and statistics.
|
856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=894821
|z Click to View
|