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A kernel estimate method for characteristic function-based uncertainty importance measure
16 references·0 citing·36 second hop
A kernel estimate method for characteristic function-based uncertainty importance measure (2016)A kernel estimate method for characterist…Sensitivity analysis: A review of recent advances (2015)Sensitivity analysis: A revie…A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)A simple and efficient method…Global sensitivity measures from given data (2012)Global sensitivity measures f…Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches (2006)Measuring Uncertainty Importa…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…How Useful Is Quantitative Risk Assessment? (2004)How Useful Is Quantitative Ri…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…On the Relative Importance of Input Factors in Mathematical Models (2002)On the Relative Importance of…An importance quantification technique in uncertainty analysis for computer models (2002)An importance quantification …A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Sensitivity Analysis and the Expected Value of Perfect Information (1998)Sensitivity Analysis and the …Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Uncertainty and sensitivity a…Probabilistic Analysis of Decision Trees Using Monte Carlo Simulation (1986)Probabilistic Analysis of Dec…Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Study of the sensitivity of c…Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)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)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments (1989)Verification, validation, and predictive capability in computational engineering and physics (2004)Sensitivity Analysis for Chemical Models (2005)Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation (2016)GIS and Multicriteria Decision Analysis (2000)Tools for Composite Indicators Building (2005)Uncertainty and Sensitivity Analysis Techniques as Tools for the Quality Assessment of Composite Indicators (2005)Social vulnerability indices: a comparative assessment using uncertainty and sensitivity analysis (2012)Making best use of model evaluations to compute sensitivity indices (2002)Global Sensitivity Analysis. The Primer (2007)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Global Sensitivity Analysis of environmental models: Convergence and validation (2016)Distribution-based sensitivity analysis from a generic input-output sample (2018)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)Risk, Ambiguity, and the Savage Axioms (1961)The Price of Robustness (2004)Risk assessment and risk management: Review of recent advances on their foundation (2015)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)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)Identification and Review of Sensitivity Analysis Methods (2002)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Model-based design of experiments for parameter precision: State of the art (2007)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Global sensitivity analysis using polynomial chaos expansions (2007)
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References

  • 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
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2015Sensitivity analysis: A review of recent advances1,172 cited
  • 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory1,041 cited
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  • 2004How Useful Is Quantitative Risk Assessment?412 cited
  • 1998Sensitivity Analysis and the Expected Value of Perfect Information327 cited
  • 2006Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches258 cited
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An importance quantification technique in uncertainty analysis for computer models
251 cited
  • 1986Probabilistic Analysis of Decision Trees Using Monte Carlo Simulation198 cited
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