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Probabilistic Validation: Theoretical Foundation and Methodological Platform
16 references·0 citing·32 second hop
Probabilistic Validation: Theoretical Foundation and Methodological Platform (2023)Probabilistic Validation: Theoretical Fou…A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A comprehensive framework for…Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Uncertainty Quantification an…Evaluation of measurement data — Guide to the expression of uncertainty in measurement (2008)Evaluation of measurement dat…An effective screening design for sensitivity analysis of large models (2007)An effective screening design…Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Survey of sampling-based meth…A new uncertainty importance measure (2006)A new uncertainty importance …Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Constructing Probability Boxes and Dempster-Shafer Structures (2003)Constructing Probability Boxe…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems (2000)Theory of Modeling and Simula…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Verification and validation of simulation models (1995)Verification and validation o…Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability (1994)Propagation of Uncertainty in…A review of techniques for parameter sensitivity analysis of environmental models (1994)A review of techniques for pa…Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Uncertainty and sensitivity a…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Sensitivity Analysis for Chemical Models (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)A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)Variable importance analysis: A comprehensive review (2015)Design and Analysis of Computer Experiments (1989)Response Surface Methodology (1996)How to avoid a perfunctory sensitivity analysis (2010)A Review on Global Sensitivity Analysis Methods (2015)The generalization of Latin hypercube sampling (2015)Statistics for Experimenters (1979)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)“Opening Up” and “Closing Down” (2007)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Empirical Model Building and Response Surfaces (1988)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Handbook on Constructing Composite Indicators (2005)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Error and uncertainty in modeling and simulation (2002)Verification, validation, and predictive capability in computational engineering and physics (2004)Human mobility: Models and applications (2018)Monte Carlo Simulations Applied to Uncertainty in Measurement (2013)Theory of sampling (TOS) versus measurement uncertainty (MU) – A call for integration (2014)Thermal expansion coefficient of single-crystal silicon from 7 K to 293 K (2015)
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References

  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 2008Evaluation of measurement data — Guide to the expression of uncertainty in measurement2,779 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2007An effective screening design for sensitivity analysis of large models2,024 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 1994A review of techniques for parameter sensitivity analysis of environmental models1,964 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited
  • 2000Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems1,114 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
  • 2008Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics769 cited
  • 2003Constructing Probability Boxes and Dempster-Shafer Structures745 cited
  • 1993Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal

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735 cited
  • 1995Verification and validation of simulation models732 cited
  • 1994Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability701 cited
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