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Estimation of sensitivity coefficients of nonlinear model input parameters which have a multinormal distribution
11 references·8 citing·38 second hop
Estimation of sensitivity coefficients of nonlinear model input parameters which have a multinormal distribution (2003)Estimation of sensitivity coefficients of…Improved generalized Fourier amplitude sensitivity test (FAST) for model assessment (2003)Improved generalized Fourier …Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis (2002)Illustration of Sampling‐Base…Identification and Review of Sensitivity Analysis Methods (2002)Identification and Review of …An alternative way to compute Fourier amplitude sensitivity test (FAST) (1998)An alternative way to compute…The Effect of Neglecting Correlations When Propagating Uncertainty and Estimating the Population Distribution of Risk (1992)The Effect of Neglecting Corr…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models (1988)An Investigation of Uncertain…An Examination of Response-Surface Methodologies for Uncertainty Analysis in Assessment Models (1985)An Examination of Response-Su…A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …Comparison of Two Uncertainty Analysis Methods (1977)Comparison of Two Uncertainty…Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Study of the sensitivity of c…Efficient sensitivity analysis for biomechanical models with correlated inputs (2023)Efficient sensitivity analysi…Variance-based sensitivity analysis for models with correlated inputs and its state dependent parameter solution (2017)Variance-based sensitivity an…General validation and decomposition of the variance-based measures for models with correlated inputs (2016)General validation and decomp…Importance analysis for models with correlated variables and its sparse grid solution (2013)Importance analysis for model…Decoupling correlated and uncorrelated parametric uncertainty contributions for nonlinear models (2013)Decoupling correlated and unc…A new interpretation and validation of variance based importance measures for models with correlated inputs (2013)A new interpretation and vali…Moving least squares based sensitivity analysis for models with dependent variables (2012)Moving least squares based se…Importance analysis for models with correlated input variables by the state dependent parameters method (2011)Importance analysis for model…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)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Evaluating prediction uncertainty (1995)Response Surface Methodology (1996)Sensitivity analysis and related analyses: A review of some statistical techniques (1997)Response surface methodology for constrained simulation optimization: An overview (2007)Monte Carlo Techniques for Quantitative Uncertainty Analysis in Public Health Risk Assessments (1992)Fundamentals of Risk Analysis and Risk Management (1996)On Modeling Correlated Random Variables in Risk Assessment (1999)Evidence synthesis, parameter correlation and probabilistic sensitivity analysis (2006)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Sensitivity analysis of model output (1997)What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models (2015)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Sensitivity Analysis as an Ingredient of Modeling (2000)Sensitivity Anaysis as an Ingredient of Modeling (2000)Model-based design of experiments for parameter precision: State of the art (2007)Rank Correlation Methods. (1957)Statistical principles in experimental design. (1962)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A new uncertainty importance measure (2006)Sensitivity analysis practices: Strategies for model-based inference (2006)Variable importance analysis: A comprehensive review (2015)On the Experimental Attainment of Optimum Conditions (1951)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)A comparison of uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling (2004)Alternative representations of epistemic uncertainty (2004)Does climate adaptation policy need probabilities? (2004)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Tolerance Analysis by Computer (1979)A Second-Order Moments Method for Uncertainty Analysis (1982)Uncertainty analysis of system reliability and availability assessment (1982)
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References

  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory1,041 cited
  • 2002Identification and Review of Sensitivity Analysis Methods1,035 cited
  • 1988An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models609 cited
  • 1998An alternative way to compute Fourier amplitude sensitivity test (FAST)368 cited
  • 2002Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis312 cited
  • 1985An Examination of Response-Surface Methodologies for Uncertainty Analysis in Assessment Models157 cited
  • 1992The Effect of Neglecting Correlations When Propagating Uncertainty and Estimating the Population Distribution of Risk108 cited
  • 1977Comparison of Two Uncertainty Analysis Methods43 cited
  • 2003Improved generalized Fourier amplitude sensitivity test (FAST) for model assessment37 cited

Cited by

  • 2013A new interpretation and validation of variance based importance measures for models with correlated inputs21 cited
  • 2013Decoupling correlated and uncorrelated parametric uncertainty contributions for nonlinear models20 cited
  • 2017

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Variance-based sensitivity analysis for models with correlated inputs and its state dependent parameter solution
20 cited
  • 2011Importance analysis for models with correlated input variables by the state dependent parameters method17 cited
  • 2012Moving least squares based sensitivity analysis for models with dependent variables12 cited
  • 2016General validation and decomposition of the variance-based measures for models with correlated inputs12 cited
  • 2013Importance analysis for models with correlated variables and its sparse grid solution10 cited
  • 2023Efficient sensitivity analysis for biomechanical models with correlated inputs9 cited