Presented is an efficient method for variance-based sensitivity analysis. It provides a general approach to transforming a sensitivity problem into one ...
Presented is an efficient method for variance-based sensitivity analysis. It provides a general approach to transforming a sensitivity problem into one ...
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Efficient method for variance-based sensitivity analysis - IDEAS/RePEc
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Presented is an efficient method for variance-based sensitivity analysis. It provides a general approach to transforming a sensitivity problem into one ...
Presented is an efficient method for variance-based sensitivity analysis. It provides a general approach to transforming a sensitivity problem into one ...
Jul 5, 2018 · Presented is an efficient method for variance-based sensitivity analysis. It provides a general approach to transforming a sensitivity problem ...
This paper develops a computationally efficient implementation for the DSA formulation and extends it to include distributions commonly used in engineering ...
Some particularly efficient algorithms for the estimation of S# belong to the class of spectral methods, which may be preferred in case the model has some ...
Apr 2, 2024 · In this study, the detailed derivation of unconditional and conditional statistical moments for calculating two variance-based global ...
The variance-based sensitivity analysis (also known as Sobol's method) is a particular technique for global sensitivity analysis [4][5] [6] . This approach is ...
This section aims at presenting an overview of variance-based approaches for global sensitivity analysis. Starting from functional ANOVA, Sobol' indices are ...