GLOBAL SENSITIVITY ANALYSIS: AN EFFICIENT NUMERICAL METHOD FOR APPROXIMATING THE TOTAL SENSITIVITY INDEX

DOI10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2016012354zbMath1498.62010OpenAlexW2316577507MaRDI QIDQ5052265

Matieyendou Lamboni

Publication date: 24 November 2022

Published in: International Journal for Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1615/int.j.uncertaintyquantification.2016012354

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (6)

Optimization of vehicle structural parameters considering stability improvement ⋮ Global sensitivity analysis: a generalized, unbiased and optimal estimator of total-effect variance ⋮ Uncertainty quantification: a minimum variance unbiased (joint) estimator of the non-normalized Sobol' indices ⋮ Derivative-based generalized sensitivity indices and Sobol' indices ⋮ Derivative-based integral equalities and inequality: a proxy-measure for sensitivity analysis ⋮ Weak derivative-based expansion of functions: ANOVA and some inequalities

This page was built for publication: GLOBAL SENSITIVITY ANALYSIS: AN EFFICIENT NUMERICAL METHOD FOR APPROXIMATING THE TOTAL SENSITIVITY INDEX