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Analysis of variance designs for model output
5 references·16 citing·32 second hop
Analysis of variance designs for model output (1999)Analysis of variance designs for model ou…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …A 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…Nonlinear sensitivity analysis of multiparameter model systems (1978)Nonlinear sensitivity analysi…sensobol : An R Package to Compute Variance-Based Sensitivity Indices (2022)sensobol : An R Package to Co…The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)The Future of Sensitivity Ana…Sensitivity analysis methods in the biomedical sciences (2020)Sensitivity analysis methods …Random forests for global sensitivity analysis: A selective review (2020)Random forests for global sen…Global sensitivity metrics from active subspaces (2017)Global sensitivity metrics fr…Bayesian sparse polynomial chaos expansion for global sensitivity analysis (2017)Bayesian sparse polynomial ch…Accelerate global sensitivity analysis using artificial neural network algorithm: Case studies for combustion kinetic model (2016)Accelerate global sensitivity…Variable importance analysis: A comprehensive review (2015)Variable importance analysis:…A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications (2015)A guide to uncertainty quanti…Estimating Sobol sensitivity indices using correlations (2012)Estimating Sobol sensitivity …Efficient sampling methods for global reliability sensitivity analysis (2012)Efficient sampling methods fo…From screening to quantitative sensitivity analysis. A unified approach (2011)From screening to quantitativ…A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices (2010)A new derivative based import…A comparison of uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling (2004)A comparison of uncertainty a…Latin Hypercube Sampling and the Propagation of Uncertainty in Analyses of Complex Systems (2002)Latin Hypercube Sampling and …Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis (2002)Illustration of Sampling‐Base…Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Sensitivity Analysis for Chemical Models (2005)Model-based design of experiments for parameter precision: State of the art (2007)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)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)Global Sensitivity Analysis. 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(1962)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Surrogate-assisted global sensitivity analysis: an overview (2020)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)
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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 1978Nonlinear sensitivity analysis of multiparameter model systems696 cited

Cited by

  • 2020The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support632 cited
  • 2015Variable importance analysis: A comprehensive review526 cited
  • 2011From screening to quantitative sensitivity analysis. A unified approach431 cited
  • 2020Random forests for global sensitivity analysis: A selective review366 cited
  • 2002Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis312 cited
  • 2004A comparison of uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling278 cited
  • 2020Sensitivity analysis methods in the biomedical sciences168 cited
  • 2015A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications163 cited
  • 2017

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Global sensitivity metrics from active subspaces
158 cited
  • 2012Efficient sampling methods for global reliability sensitivity analysis157 cited
  • 2012Estimating Sobol sensitivity indices using correlations153 cited
  • 2017Bayesian sparse polynomial chaos expansion for global sensitivity analysis140 cited
  • 2010A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices124 cited
  • 2002Latin Hypercube Sampling and the Propagation of Uncertainty in Analyses of Complex Systems113 cited
  • 2022sensobol : An R Package to Compute Variance-Based Sensitivity Indices110 cited
  • 2016Accelerate global sensitivity analysis using artificial neural network algorithm: Case studies for combustion kinetic model101 cited