Borgonovo moment independent global sensitivity analysis by Gaussian radial basis function meta-model
Abstract
Moment independent sensitivity index is widely concerned and used since it can reflect the influence of model input uncertainty on the entire distribution of model output instead of a specific moment. In this paper, a novel analytical expression to estimate the Borgonovo moment independent sensitivity index is derived by use of the Gaussian radial basis function and the Edgeworth expansion. Firstly, the analytical expressions of the...
Paper Details
Title
Borgonovo moment independent global sensitivity analysis by Gaussian radial basis function meta-model
Published Date
Feb 1, 2018
Volume
54
Pages
378 - 392
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