Global sensitivity analysis using complex linear models

DOI10.1007/S11222-011-9239-YzbMath1252.62119OpenAlexW2030358859MaRDI QIDQ693312

Astrid Jourdan

Publication date: 7 December 2012

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-011-9239-y

zbMATH Keywords

orthogonal designsSobol indicesFourier regression models

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Monte Carlo methods (65C05) Applications of statistics (62P99) Theory of software (68N99)

Related Items (1)

Uncertainty quantification: a minimum variance unbiased (joint) estimator of the non-normalized Sobol' indices

Cites Work

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• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• Space-filling Latin hypercube designs for computer experiments
• Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

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