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Efficient method for variance-based sensitivity analysis
16 references·0 citing·15 second hop
Efficient method for variance-based sensitivity analysis (2018)Efficient method for variance-based sensi…A Review on Global Sensitivity Analysis Methods (2015)A Review on Global Sensitivit…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Uncertain Judgements: Eliciting Experts' Probabilities (2006)Uncertain Judgements: Eliciti…Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Survey of sampling-based meth…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Sensitivity Analysis in Pract…High-Order Collocation Methods for Differential Equations with Random Inputs (2005)High-Order Collocation Method…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…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…Experts in uncertainty: opinion and subjective probability in science (1992)Experts in uncertainty: opini…Stochastic Finite Elements: A Spectral Approach (1991)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Statistics for Experimenters (1979)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)An effective screening design for sensitivity analysis of large models (2007)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Empirical Model Building and Response Surfaces (1988)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)How to avoid a perfunctory sensitivity analysis (2010)A new uncertainty importance measure (2006)
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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
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 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
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 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
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2005Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,843 cited
  • 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
  • 2006Uncertain Judgements: Eliciting Experts' Probabilities1,549 cited
  • 2005High-Order Collocation Methods for Differential Equations with Random Inputs1,522 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited

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  • 1992Experts in uncertainty: opinion and subjective probability in science1,129 cited
  • 2015A Review on Global Sensitivity Analysis Methods1,113 cited
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