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Comparison of some efficient methods to evaluate the main effect of computer model factors
8 references·16 citing·37 second hop
Comparison of some efficient methods to evaluate the main effect of computer model factors (2008)Comparison of some efficient methods to e…Random balance designs for the estimation of first order global sensitivity indices (2005)Random balance designs for th…A comparison of uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling (2004)A comparison of uncertainty a…On the Relative Importance of Input Factors in Mathematical Models (2002)On the Relative Importance of…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…About the use of rank transformation in sensitivity analysis of model output (1995)About the use of rank transfo…Nonlinear sensitivity analysis of multiparameter model systems (1978)Nonlinear sensitivity analysi…Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Study of the sensitivity of c…Random Balance Experimentation (1959)Random Balance ExperimentationUncertainty analysis of static fatigue of Hi-Nicalon bundles (2024)Uncertainty analysis of stati…Adaptive use of replicated Latin Hypercube Designs for computing Sobol’ sensitivity indices (2021)Adaptive use of replicated La…An effective strategy for combining variance- and distribution-based global sensitivity analysis (2020)An effective strategy for com…The Uranie platform: an open-source software for optimisation, meta-modelling and uncertainty analysis (2019)The Uranie platform: an open-…Nonparametric estimation of probabilistic sensitivity measures (2019)Nonparametric estimation of p…Uncertainty quantification: a minimum variance unbiased (joint) estimator of the non-normalized Sobol’ indices (2018)Uncertainty quantification: a…Sensitivity analysis via Karhunen–Loève expansion of a random field model: Estimation of Sobol’ indices and experimental design (2018)Sensitivity analysis via Karh…Efficient method for variance-based sensitivity analysis (2018)Efficient method for variance…Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms (2017)Variance-Based Sensitivity An…Reliable error estimation for Sobol’ indices (2017)Reliable error estimation for…Sampling, Metamodeling, and Sensitivity Analysis of Numerical Simulators with Functional Stochastic Inputs (2016)Sampling, Metamodeling, and S…Addressing factors fixing setting from given data: A comparison of different methods (2016)Addressing factors fixing set…Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms (2015)Variance-Based Sensitivity An…Simple approach to emulating complex computer models for global sensitivity analysis (2015)Simple approach to emulating …Introduction to Sensitivity Analysis (2015)Introduction to Sensitivity A…Sensitivity analysis of complex models: Coping with dynamic and static inputs (2014)Sensitivity analysis of compl…Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Sensitivity analysis of model output (1997)Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis (2010)Response Surface Methodology (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Multiple predictor smoothing methods for sensitivity analysis: Description of techniques (2007)Uncertainty and sensitivity analysis for models with correlated parameters (2007)Comparison of sensitivity analysis techniques: A case study with the rice model WARM (2010)Making best use of model evaluations to compute sensitivity indices (2002)Calculations of Sobol indices for the Gaussian process metamodel (2008)Sensitivity analysis of spatial models (2008)Ratings and Rankings: Voodoo or Science? 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this work references cited by second hop

References

  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory1,041 cited
  • 1978Nonlinear sensitivity analysis of multiparameter model systems696 cited
  • 2002On the Relative Importance of Input Factors in Mathematical Models447 cited
  • 1995About the use of rank transformation in sensitivity analysis of model output340 cited
  • 2005Random balance designs for the estimation of first order global sensitivity indices319 cited
  • 1959Random Balance Experimentation294 cited
  • 2004A comparison of uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling278 cited

Cited by

  • 2019The Uranie platform: an open-source software for optimisation, meta-modelling and uncertainty analysis50 cited
  • 2015Introduction to Sensitivity Analysis49 cited
  • 2015Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms39 cited
  • 2017Variance-Based Sensitivity Analysis: Theory and Estimation Algorithms31 cited
  • 2014Sensitivity analysis of complex models: Coping with dynamic and static inputs28 cited
  • 2020An effective strategy for combining variance- and distribution-based global sensitivity analysis

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26 cited
  • 2024Uncertainty analysis of static fatigue of Hi-Nicalon bundles23 cited
  • 2015Simple approach to emulating complex computer models for global sensitivity analysis23 cited
  • 2016Addressing factors fixing setting from given data: A comparison of different methods22 cited
  • 2016Sampling, Metamodeling, and Sensitivity Analysis of Numerical Simulators with Functional Stochastic Inputs21 cited
  • 2021Adaptive use of replicated Latin Hypercube Designs for computing Sobol’ sensitivity indices20 cited
  • 2017Reliable error estimation for Sobol’ indices20 cited
  • 2018Sensitivity analysis via Karhunen–Loève expansion of a random field model: Estimation of Sobol’ indices and experimental design18 cited
  • 2018Efficient method for variance-based sensitivity analysis18 cited
  • 2019Nonparametric estimation of probabilistic sensitivity measures18 cited
  • 2018Uncertainty quantification: a minimum variance unbiased (joint) estimator of the non-normalized Sobol’ indices18 cited