A Global Sensitivity Analysis Method for Multi-Input Multi-Output System and its Application in Structural Design

DOI10.1142/S021987622141005XOpenAlexW3127390704MaRDI QIDQ5057671

Nichen Tong, X. Han, Qi-Ming Liu

Publication date: 19 December 2022

Published in: International Journal of Computational Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s021987622141005x

zbMATH Keywords

global sensitivity analysishigh-dimensional model representationmulti-input multi-output systemvariance and covariance decomposition

Mathematics Subject Classification ID

Statistics (62-XX) Numerical analysis (65-XX)

Cites Work

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• Regression methods for metacognitive sensitivity
• Sensitivity indices for multivariate outputs
• Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
• Derivative based global sensitivity measures and their link with global sensitivity indices

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