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Uncertainty Quantification: Theory, Implementation, and Applications

Language EnglishEnglish
Book Hardback
Book Uncertainty Quantification: Theory, Implementation, and Applications Ralph Smith
Libristo code: 02478003
The need to quantify and characterise uncertainties arising in mathematical models with unknown para... Full description
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The need to quantify and characterise uncertainties arising in mathematical models with unknown parameters leads to the rapidly evolving field of uncertainty quantification. This book provides readers with the concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models. It covers concepts from probability and statistics such as parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, and sensitivity analysis. The book goes on to explore applications and open problems from a wide array of disciplines, particularly those such as climate science, hydrology, and nuclear power where uncertainty quantification is crucial for both scientific understanding and public policy. An accompanying web page provides data used in the exercises and other supplementary material. The text is intended as a coursebook for advanced undergraduates and above, and as a resource for researchers in mathematics, statistics, operations research, science, and engineering.

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About the book

Full name Uncertainty Quantification: Theory, Implementation, and Applications
Author Ralph Smith
Language English
Binding Book - Hardback
Date of issue 2013
Number of pages 400
EAN 9781611973211
ISBN 161197321X
Libristo code 02478003
Weight 86
Dimensions 325 x 186 x 23
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