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A new variance-based global sensitivity analysis technique
16 references·12 citing·17 second hop
A new variance-based global sensitivity analysis technique (2013)A new variance-based global sensitivity a…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Derivative based global sensitivity measures and their link with global sensitivity indices (2009)Derivative based global sensi…Kriging metamodeling in simulation: A review (2007)Kriging metamodeling in simul…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …An effective screening design for sensitivity analysis of large models (2007)An effective screening design…A new uncertainty importance measure (2006)A new uncertainty importance …Sensitivity Analysis for Chemical Models (2005)Sensitivity Analysis for Chem…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…High Dimensional Model Representations (2001)High Dimensional Model Repres…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Global Sensitivity Analysis (1995)Global Sensitivity AnalysisFactorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …A novel single-loop estimation method for predictive failure probability-based global sensitivity analysis (2024)A novel single-loop estimatio…Global sensitivity evolution equation of the Fréchet-derivative-based global sensitivity analysis (2023)Global sensitivity evolution …Benchmarking Active Subspace methods of global sensitivity analysis against variance-based Sobol' and Morris methods with established test functions (2022)Benchmarking Active Subspace …A generalized sensitivity analysis method based on variance and covariance decomposition of summatory functions for multi-input multi-output systems (2021)A generalized sensitivity ana…Bayes theorem–based and copula-based estimation for failure probability function (2020)Bayes theorem–based and copul…Two Efficient AK-Based Global Reliability Sensitivity Methods by Elaborative Combination of Bayes’ Theorem and the Law of Total Expectation in the Successive Intervals Without Overlapping (2019)Two Efficient AK-Based Global…A new global sensitivity measure based on derivative-integral and variance decomposition and its application in structural crashworthiness (2019)A new global sensitivity meas…Time-dependent failure credibility analysis and its optimization based computational methods (2018)Time-dependent failure credib…An efficient sampling approach for variance-based sensitivity analysis based on the law of total variance in the successive intervals without overlapping (2018)An efficient sampling approac…Importance Sampling-based Post-Processing Method for Global Sensitivity Analysis (2016)Importance Sampling-based Pos…An efficient method for estimating global sensitivity indices (2016)An efficient method for estim…Sectional global sensitivity measures (2014)Sectional global sensitivity …Statistics for Experimenters (1979)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)“Opening Up” and “Closing Down” (2007)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Handbook on Constructing Composite Indicators (2005)Empirical Model Building and Response Surfaces (1988)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Global sensitivity analysis using polynomial chaos expansions (2007)How to avoid a perfunctory sensitivity analysis (2010)
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References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 2007An effective screening design for sensitivity analysis of large models2,024 cited
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  • 2007Kriging metamodeling in simulation: A review1,278 cited
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  • 2005Sensitivity Analysis for Chemical Models643 cited
  • 2001High Dimensional Model Representations

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497 cited
  • 2009Derivative based global sensitivity measures and their link with global sensitivity indices446 cited
  • Cited by

    • 2018An efficient sampling approach for variance-based sensitivity analysis based on the law of total variance in the successive intervals without overlapping27 cited
    • 2018Time-dependent failure credibility analysis and its optimization based computational methods27 cited
    • 2023Global sensitivity evolution equation of the Fréchet-derivative-based global sensitivity analysis19 cited
    • 2019Two Efficient AK-Based Global Reliability Sensitivity Methods by Elaborative Combination of Bayes’ Theorem and the Law of Total Expectation in the Successive Intervals Without Overlapping19 cited
    • 2019A new global sensitivity measure based on derivative-integral and variance decomposition and its application in structural crashworthiness19 cited
    • 2022Benchmarking Active Subspace methods of global sensitivity analysis against variance-based Sobol' and Morris methods with established test functions18 cited
    • 2021A generalized sensitivity analysis method based on variance and covariance decomposition of summatory functions for multi-input multi-output systems17 cited
    • 2024A novel single-loop estimation method for predictive failure probability-based global sensitivity analysis16 cited
    • 2016An efficient method for estimating global sensitivity indices16 cited
    • 2020Bayes theorem–based and copula-based estimation for failure probability function15 cited
    • 2016Importance Sampling-based Post-Processing Method for Global Sensitivity Analysis13 cited
    • 2014Sectional global sensitivity measures12 cited