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Asymptotic normality and efficiency of two Sobol index estimators

Alexandre JanonThierry KleinAgnès LagnouxMaëlle NodetClémentine Prieur — 2014

ESAIM: Probability and Statistics

Many mathematical models involve input parameters, which are not precisely known. Global sensitivity analysis aims to identify the parameters whose uncertainty has the largest impact on the variability of a quantity of interest (output of the model). One of the statistical tools used to quantify the influence of each input variable on the output is the Sobol sensitivity index. We consider the statistical estimation of this index from a finite sample of model outputs: we present two estimators and...

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