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2019 | OriginalPaper | Buchkapitel

Sensitivity Analysis Methods

verfasst von : Yanjun Gan, Qingyun Duan

Erschienen in: Handbook of Hydrometeorological Ensemble Forecasting

Verlag: Springer Berlin Heidelberg

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Abstract

Sensitivity analysis (SA) is an important tool for assessing and reducing uncertainties in computer-based models. This chapter presents a comprehensive review of some commonly used SA methods, including gradient-based, variance-based, and regression-based methods. Features and applicability of those methods are described and illustrated with some examples. Merits and limitations of different methods are explained, and the criteria of choosing appropriate SA methods for different applications are suggested.

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Titel: Sensitivity Analysis Methods
verfasst von: Yanjun Gan
Qingyun Duan
Verlag: Springer Berlin Heidelberg
Buch: Handbook of Hydrometeorological Ensemble Forecasting
Print ISBN: 978-3-642-39924-4

Electronic ISBN: 978-3-642-39925-1

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-642-39925-1_65