Importance measures in global sensitivity analysis of nonlinear models
Volume: 52, Issue: 1, Pages: 1 - 17
Published: Apr 1, 1996
Abstract
null null The present paper deals with a new method of global sensitivity analysis of nonlinear models. This is based on a measure of importance to calculate the fractional contribution of the input parameters to the variance of the model prediction. Measures of importance in sensitivity analysis have been suggested by several authors, whose work is reviewed in this article. More emphasis is given to the developments of sensitivity indices by...
Paper Details
Title
Importance measures in global sensitivity analysis of nonlinear models
Published Date
Apr 1, 1996
Volume
52
Issue
1
Pages
1 - 17
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