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Moving least squares based sensitivity analysis for models with dependent variables
16 references·1 citing·27 second hop
Moving least squares based sensitivity analysis for models with dependent variables (2012)Moving least squares based sensitivity an…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Survey of sampling-based meth…A new uncertainty importance measure (2006)A new uncertainty importance …Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Sensitivity Analysis in Pract…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Probabilistic Sensitivity Ana…Theorems and examples on high dimensional model representation (2003)Theorems and examples on high…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…General foundations of high‐dimensional model representations (1999)General foundations of high‐d…Efficient input—output model representations (1999)Efficient input—output model …A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…Structural Reliability under Incomplete Probability Information (1986)Structural Reliability under …A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …Nonlinear sensitivity analysis of multiparameter model systems (1978)Nonlinear sensitivity analysi…Importance measure analysis with epistemic uncertainty and its moving least squares solution (2013)Importance measure analysis w…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Making best use of model evaluations to compute sensitivity indices (2002)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Design and Analysis of Computer Experiments (1989)Response Surface Methodology (1996)How to avoid a perfunctory sensitivity analysis (2010)A Review on Global Sensitivity Analysis Methods (2015)The generalization of Latin hypercube sampling (2015)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)Importance measures in global sensitivity analysis of nonlinear models (1996)Bayesian analysis of computer code outputs: A tutorial (2006)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Global sensitivity analysis using polynomial chaos expansions (2007)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)Tools for Composite Indicators Building (2005)A review of techniques for parameter sensitivity analysis of environmental models (1994)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)
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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
  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 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
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited
  • 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach1,085 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 1999General foundations of high‐dimensional model representations905 cited
  • 1986Structural Reliability under Incomplete Probability Information853 cited
  • 1978Nonlinear sensitivity analysis of multiparameter model systems696 cited
  • 1999Efficient input—output model representations

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462 cited
  • 2003Theorems and examples on high dimensional model representation450 cited
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    • 2013Importance measure analysis with epistemic uncertainty and its moving least squares solution11 cited