Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976685 ISBN 13: 9781611976687
Language: English
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Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976685 ISBN 13: 9781611976687
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976685 ISBN 13: 9781611976687
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976685 ISBN 13: 9781611976687
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 110.53
Convert currencyQuantity: 2 available
Add to basketCondition: As New. Unread book in perfect condition.
Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976685 ISBN 13: 9781611976687
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Society For Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976685 ISBN 13: 9781611976687
Language: English
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Published by Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976685 ISBN 13: 9781611976687
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketPaperback. Condition: New. This book provides an overview of global sensitivity analysis methods and algorithms, including their theoretical basis and mathematical properties. The authors use a practical point of view and real case studies as well as numerous examples, and applications of the different approaches are illustrated throughout using R code to explain their usage and usefulness in practice. Basics and Trends in Sensitivity Analysis: Theory and Practice in R covers a lot of material, including theoretical aspects of Sobol' indices as well as sampling-based formulas, spectral methods, and metamodel-based approaches for estimation purposes; screening techniques devoted to identifying influential and noninfluential inputs; variance-based measures when model inputs are statistically dependent (and several other approaches that go beyond variance-based sensitivity measures); and a case study in R related to a COVID-19 epidemic model where the full workflow of sensitivity analysis combining several techniques is presented.This book is intended for engineers, researchers, and undergraduate students who use complex numerical models and have an interest in sensitivity analysis techniques and is appropriate for anyone with a solid mathematical background in basic statistical and probability theories who develops and uses numerical models in all scientific and engineering domains.
Published by SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976685 ISBN 13: 9781611976687
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976685 ISBN 13: 9781611976687
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
US$ 130.25
Convert currencyQuantity: 2 available
Add to basketPaperback. Condition: New. This book provides an overview of global sensitivity analysis methods and algorithms, including their theoretical basis and mathematical properties. The authors use a practical point of view and real case studies as well as numerous examples, and applications of the different approaches are illustrated throughout using R code to explain their usage and usefulness in practice. Basics and Trends in Sensitivity Analysis: Theory and Practice in R covers a lot of material, including theoretical aspects of Sobol' indices as well as sampling-based formulas, spectral methods, and metamodel-based approaches for estimation purposes; screening techniques devoted to identifying influential and noninfluential inputs; variance-based measures when model inputs are statistically dependent (and several other approaches that go beyond variance-based sensitivity measures); and a case study in R related to a COVID-19 epidemic model where the full workflow of sensitivity analysis combining several techniques is presented.This book is intended for engineers, researchers, and undergraduate students who use complex numerical models and have an interest in sensitivity analysis techniques and is appropriate for anyone with a solid mathematical background in basic statistical and probability theories who develops and uses numerical models in all scientific and engineering domains.