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| LEADER |
00000cam a2200000 7i4500 |
| 001 |
0000080460 |
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20121022093000.0 |
| 008 |
120104s2012 enk eng |
| 020 |
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|a 0470695145 (hardback : alk. paper)
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| 020 |
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|a 9780470695142 (hardback : alk. paper)
|
| 050 |
0 |
0 |
|a HD30.25
|b .R63 2012
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| 090 |
0 |
0 |
|a HD30.25
|b .R63 2012
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| 100 |
1 |
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|a Rocquigny, Etienne de ,
|e author
|
| 245 |
1 |
0 |
|a Modelling under risk and uncertainty :
|b an introduction to statistical, phenomenological, and computational methods
|c Etienne de Rocquigny
|
| 260 |
|
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|a Chichester, West Sussex, UK :
|b Wiley ,
|c c2012
|
| 300 |
|
|
|a xxxviii, 434 p. :
|b ill. ;
|c 25 cm.
|
| 490 |
1 |
|
|a Wiley series in probability and statistics
|
| 504 |
|
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|a Includes bibliographical references and index
|
| 505 |
0 |
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|a 1. Acronyms and abbreviations -- 2. A generic modeling framework -- 3. A generic tutorial example : natural risk in an industrial installation -- 4. Understanding natures of uncertainty, risk margins and time bases for probabilistic decision-making -- 5. Direct statistical estimation techniques -- 6. Combined model estimation through inverse techniques -- 7. Computational methods for risk and uncertainty propagation -- 8. Optimizing under uncertainty : economics and computational challenges -- 9. Conclusion : perspectives of modeling in the context of risk and uncertainty and further research -- 10. Annexes
|
| 520 |
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|a "This book aims at giving a new insight on the peculiar mathematical challenges generated by recent industrial safety or environmental control analysis"--Provided by publisher
|
| 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"--Provided by publisher
|
| 650 |
|
0 |
|a Industrial management
|x Mathematical models
|
| 650 |
|
0 |
|a Risk management
|x Mathematical models
|
| 650 |
|
0 |
|a Uncertainty
|x Mathematical models
|
| 999 |
|
|
|a 1000149571
|b Book
|c OPEN SHELF (30 DAYS)
|e Gong Badak Campus
|