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Item Details
| Title:
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UNCERTAINTY QUANTIFICATION
THEORY, IMPLEMENTATION, AND APPLICATIONS |
| By: |
Ralph C. Smith |
| Format: |
Hardback |
| List price:
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£57.99 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
161197321X |
| ISBN 13: |
9781611973211 |
| Publisher: |
SOCIETY FOR INDUSTRIAL & APPLIED MATHEMATICS,U.S. |
| Pub. date: |
30 December, 2013 |
| Series: |
Computational Science & Engineering |
| Pages: |
400 |
| Description: |
The field of uncertainty quantification is evolving rapidly. This book provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines. |
| Synopsis: |
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. |
| Illustrations: |
Illustrations (black and white) |
| Publication: |
US |
| Imprint: |
Society for Industrial & Applied Mathematics,U.S. |
| Returns: |
Returnable |
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