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Evaluating prediction uncertainty
13 references·16 citing·29 second hop
Evaluating prediction uncertainty (1995)Evaluating prediction uncertaintyA 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…Sensitivity analysis of model output (1997)Sensitivity analysis of model…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …The Concept of Probability in Safety Assessments of Technological Systems (1990)The Concept of Probability in…Non-parametric statistics in sensitivity analysis for model output: A comparison of selected techniques (1990)Non-parametric statistics in …A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis (1990)A Robust Measure of Uncertain…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models (1988)An Investigation of Uncertain…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…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 …An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment (1981)An Approach to Sensitivity An…Nonlinear sensitivity analysis of multiparameter model systems (1978)Nonlinear sensitivity analysi…Variance-based sensitivity analysis: The quest for better estimators and designs between explorativity and economy (2020)Variance-based sensitivity an…Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification (2015)Refined Stratified Sampling f…Sampling strategies in density-based sensitivity analysis (2012)Sampling strategies in densit…Using Orthogonal Arrays in the Sensitivity Analysis of Computer Models (2008)Using Orthogonal Arrays in th…Moment independent and variance‐based sensitivity analysis with correlations: An application to the stability of a chemical reactor (2008)Moment independent and varian…Refinement strategies for stratified sampling methods (2006)Refinement strategies for str…Combining experimental data and computer simulations, with an application to flyer plate experiments (2006)Combining experimental data a…An approximate sensitivity analysis of results from complex computer models in the presence of epistemic and aleatory uncertainties (2006)An approximate sensitivity an…A Methodology to Manage System-level Uncertainty During Conceptual Design (2006)A Methodology to Manage Syste…Sampling plans based on balanced incomplete block designs for evaluating the importance of computer model inputs (2005)Sampling plans based on balan…Sensitivity analysis in the context of uncertainty analysis for computationally intensive models (1999)Sensitivity analysis in the c…A role for sensitivity analysis in presenting the results from MCDA studies to decision makers (1999)A role for sensitivity analys…Expressing and interpreting the results of quantitative risk analyses. Review and discussion (1998)Expressing and interpreting t…Sensitivity analysis of normative economic models: theoretical framework and practical strategies (1997)Sensitivity analysis of norma…Sensitivity analysis and related analyses: A review of some statistical techniques (1997)Sensitivity analysis and rela…Nonparametric variance-based methods of assessing uncertainty importance (1997)Nonparametric variance-based …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)Analysis of variance designs for model output (1999)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)Sensitivity analysis of an environmental model: an application of different analysis methods (1997)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A methodology for fitting and validating metamodels in simulation1Two anonymous referees' comments on the first draft lead to an improved organization of our paper.1 (2000)Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis (2002)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)On The Quantitative Definition of Risk (1981)Uncertainty and sensitivity analysis in the presence of stochastic and subjective uncertainty (1997)Calibration, validation, and sensitivity analysis: What's what (2006)The future of risk assessment (2018)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)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)About the use of rank transformation in sensitivity analysis of model output (1995)
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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
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 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
  • 1990The Concept of Probability in Safety Assessments of Technological Systems629 cited
  • 1988An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models609 cited
  • 1981An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment584 cited
  • 1997Sensitivity analysis of model output313 cited
  • 1990A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis264 cited
  • 1990Non-parametric statistics in sensitivity analysis for model output: A comparison of selected techniques258 cited
  • 1985An Examination of Response-Surface Methodologies for Uncertainty Analysis in Assessment Models157 cited

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  • 1997Sensitivity analysis and related analyses: A review of some statistical techniques

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168 cited
  • 1997Sensitivity analysis of normative economic models: theoretical framework and practical strategies134 cited
  • 2015Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification122 cited
  • 1999Sensitivity analysis in the context of uncertainty analysis for computationally intensive models89 cited
  • 2006Combining experimental data and computer simulations, with an application to flyer plate experiments88 cited
  • 1997Nonparametric variance-based methods of assessing uncertainty importance85 cited
  • 2006Refinement strategies for stratified sampling methods84 cited
  • 2012Sampling strategies in density-based sensitivity analysis66 cited
  • 2008Moment independent and variance‐based sensitivity analysis with correlations: An application to the stability of a chemical reactor63 cited
  • 1998Expressing and interpreting the results of quantitative risk analyses. Review and discussion60 cited
  • 2020Variance-based sensitivity analysis: The quest for better estimators and designs between explorativity and economy56 cited
  • 1999A role for sensitivity analysis in presenting the results from MCDA studies to decision makers52 cited
  • 2006An approximate sensitivity analysis of results from complex computer models in the presence of epistemic and aleatory uncertainties50 cited
  • 2005Sampling plans based on balanced incomplete block designs for evaluating the importance of computer model inputs46 cited
  • 2006A Methodology to Manage System-level Uncertainty During Conceptual Design43 cited
  • 2008Using Orthogonal Arrays in the Sensitivity Analysis of Computer Models43 cited