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170703 ||| eng |
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|a 9783319123851
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| 100 |
1 |
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|a Ghanem, Roger
|e [editor]
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| 245 |
0 |
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|a Handbook of Uncertainty Quantification
|h Elektronische Ressource
|c edited by Roger Ghanem, David Higdon, Houman Owhadi
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| 250 |
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|a 1st ed. 2017
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2017, 2017
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| 300 |
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|a 520 illus., 424 illus. in color. eReference
|b online resource
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| 505 |
0 |
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|a Preliminaries -- methodology.-sensitivity analysis -- forward problems -- risk -- codes of practise and factors of safety -- software.
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| 653 |
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|a Applied mathematics
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| 653 |
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|a Engineering mathematics
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| 653 |
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|a Statistics
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| 653 |
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|a Mathematical and Computational Engineering
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| 653 |
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|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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| 653 |
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|a Probability Theory and Stochastic Processes
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| 653 |
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|a Probabilities
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| 700 |
1 |
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|a Higdon, David
|e [editor]
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| 700 |
1 |
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|a Owhadi, Houman
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-12385-1?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 519.2
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| 520 |
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|a The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessments of risk but also to design actions (by engineers, scientists and investors) that are consistent with risk aversion. The objective of this Handbook is to facilitate the dissemination of the forefront of UQ ideas to their audiences. We recognize that these audiences are varied, with interests ranging from theory to application, and from research to development and even execution.
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