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＜E-Book＞
Handbook of Uncertainty Quantification / edited by Roger Ghanem, David Higdon, Houman Owhadi

Publisher	(Cham : Springer International Publishing : Imprint: Springer)
Year	2020
Size	1000 p. 100 illus. in color : online resource
Authors	Ghanem, Roger editor Higdon, David editor Owhadi, Houman editor SpringerLink (Online service)
Subjects	LCSH:Probabilities LCSH:Applied mathematics LCSH:Engineering mathematics LCSH:Statistics  FREE:Probability Theory and Stochastic Processes FREE:Mathematical and Computational Engineering FREE:Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Notes	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 HTTP:URL=https://doi.org/10.1007/978-3-319-11259-6

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