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A fully multiple‐criteria implementation of the Sobol′ method for parameter sensitivity analysis
12 references·11 citing·27 second hop
A fully multiple‐criteria implementation of the Sobol′ method for parameter sensitivity analysis (2012)A fully multiple‐criteria implementation …Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Sensitivity analysis practices: Strategies for model-based inference (2006)Sensitivity analysis practice…Sensitivity Analysis for Chemical Models (2005)Sensitivity Analysis for Chem…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…Identification and Review of Sensitivity Analysis Methods (2002)Identification and Review of …Sensitivity Anaysis as an Ingredient of Modeling (2000)Sensitivity Anaysis as an Ing…Sensitivity Analysis as an Ingredient of Modeling (2000)Sensitivity Analysis as an In…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…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…AN APPROACH TO THE PRELIMINARY ANALYSIS OF ENVIRONMENTAL SYSTEMS (1981)AN APPROACH TO THE PRELIMINAR…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…COMPUTATION OF SOBOL INDICES IN GLOBAL SENSITIVITY ANALYSIS FROM SMALL DATA SETS BY PROBABILISTIC LEARNING ON MANIFOLDS (2020)COMPUTATION OF SOBOL INDICES …An empirical analysis of intention of use for bike-sharing system in China through machine learning techniques (2020)An empirical analysis of inte…An effective strategy for combining variance- and distribution-based global sensitivity analysis (2020)An effective strategy for com…What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling (2019)What has Global Sensitivity A…Sensitivity analysis method for model with correlated inputs and multivariate output and its application to aircraft structure (2019)Sensitivity analysis method f…Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results (2019)Model Variable Augmentation (…Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost (2018)Global sensitivity analysis f…Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale (2017)Insights into sensitivity ana…Challenges and Future Outlook of Sensitivity Analysis (2016)Challenges and Future Outlook…An Introduction to the SAFE Matlab Toolbox With Practical Examples and Guidelines (2016)An Introduction to the SAFE M…A modified Sobol′ sensitivity analysis method for decision-making in environmental problems (2015)A modified Sobol′ sensitivity…Statistics for Experimenters (1979)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)A new uncertainty importance measure (2006)“Opening Up” and “Closing Down” (2007)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Handbook on Constructing Composite Indicators (2005)Global sensitivity analysis using polynomial chaos expansions (2007)Design and Analysis of Computer Experiments (1989)Uncertainty and Sensitivity Analysis Techniques as Tools for the Quality Assessment of Composite Indicators (2005)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global Sensitivity Analysis. The Primer (2007)How to avoid a perfunctory sensitivity analysis (2010)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Rank Correlation Methods. (1957)Statistical principles in experimental design. (1962)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Variable importance analysis: A comprehensive review (2015)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)From screening to quantitative sensitivity analysis. A unified approach (2011)An overview of methods to evaluate uncertainty of deterministic models in decision support (2014)Tools for Composite Indicators Building (2005)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)
this work references cited by second hop

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
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2002Identification and Review of Sensitivity Analysis Methods1,035 cited
  • 2005Sensitivity Analysis for Chemical Models643 cited
  • 2000Sensitivity Anaysis as an Ingredient of Modeling607 cited
  • 2000Sensitivity Analysis as an Ingredient of Modeling604 cited
  • 2006Sensitivity analysis practices: Strategies for model-based inference576 cited
  • 1981AN APPROACH TO THE PRELIMINARY ANALYSIS OF ENVIRONMENTAL SYSTEMS564 cited

Cited by

  • 2019What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling110 cited
  • 2018Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost

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87 cited
  • 2017Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale55 cited
  • 2015A modified Sobol′ sensitivity analysis method for decision-making in environmental problems48 cited
  • 2020An effective strategy for combining variance- and distribution-based global sensitivity analysis26 cited
  • 2020An empirical analysis of intention of use for bike-sharing system in China through machine learning techniques22 cited
  • 2020COMPUTATION OF SOBOL INDICES IN GLOBAL SENSITIVITY ANALYSIS FROM SMALL DATA SETS BY PROBABILISTIC LEARNING ON MANIFOLDS21 cited
  • 2016Challenges and Future Outlook of Sensitivity Analysis21 cited
  • 2019Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results15 cited
  • 2016An Introduction to the SAFE Matlab Toolbox With Practical Examples and Guidelines12 cited
  • 2019Sensitivity analysis method for model with correlated inputs and multivariate output and its application to aircraft structure11 cited