A new technique for estimating variance–based total sensitivity indices from given data is developed. It is also develped a new approach for the estimation of the first order effects given a specific sample design. This method adopts the RBD approach published by Tarantola et al., (2007) for the computation of first order sensitivity indices in association to Quasi–Random numbers.
(2013). Towards more accurate measures of global sensitivity analysis. Investigation of first and total order indices. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2013).
Towards more accurate measures of global sensitivity analysis. Investigation of first and total order indices
GIOIA, PAOLA
2013
Abstract
A new technique for estimating variance–based total sensitivity indices from given data is developed. It is also develped a new approach for the estimation of the first order effects given a specific sample design. This method adopts the RBD approach published by Tarantola et al., (2007) for the computation of first order sensitivity indices in association to Quasi–Random numbers.
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