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An effective approximation for variance-based global sensitivity analysis · Study

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ArticleAn effective approximation for variance-based global sensitivity analysis

Xufang Zhang2013

Article2013

An effective approximation for variance-based global sensitivity analysis

Xufang Zhang · Mahesh D. Pandey

113 citations·0/0 files stored·Reliability Engineering & System Safety

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Probabilistic and Robust Engineering Design Mathematical Approximation and Integration Gaussian Processes and Bayesian Inference

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References

2007Global Sensitivity Analysis. The Primer 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates 2007Global sensitivity analysis using polynomial chaos expansions 2002Making best use of model evaluations to compute sensitivity indices 1996Importance measures in global sensitivity analysis of nonlinear models 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach 1999General foundations of high‐dimensional model representations 2003Theorems and examples on high dimensional model representation

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2016An efficient modularized sample-based method to estimate the first-order Sobol׳ index 2019Review of statistical model calibration and validation—from the perspective of uncertainty structures 2016Global sensitivity analysis using low-rank tensor approximations 2016Global sensitivity analysis using a Gaussian Radial Basis Function metamodel 2013Computationally Efficient Reliability Analysis of Mechanisms Based on a Multiplicative Dimensional Reduction Method

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Details

Year2013

Typearticle

Published2013-08-08

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations113

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ress.2013.07.010

openalex_workW1978289729

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