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The Use of Global Sensitivity Methods for the Analysis, Evaluation and Improvement of Complex Modelling Systems
10 references·0 citing·31 second hop
The Use of Global Sensitivity Methods for the Analysis, Evaluation and Improvement of Complex Modelling Systems (2010)The Use of Global Sensitivity Methods for…GUI–HDMR – A software tool for global sensitivity analysis of complex models (2008)GUI–HDMR – A software tool fo…A global sensitivity study of sulfur chemistry in a premixed methane flame model using HDMR (2008)A global sensitivity study of…The use of global uncertainty methods for the evaluation of combustion mechanisms (2006)The use of global uncertainty…Input screening: Finding the important model inputs on a budget (2006)Input screening: Finding the …Practical Approaches To Construct RS-HDMR Component Functions (2002)Practical Approaches To Const…Global uncertainty assessments by high dimensional model representations (HDMR) (2002)Global uncertainty assessment…High Dimensional Model Representations (2001)High Dimensional Model Repres…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Efficient input—output model representations (1999)Efficient input—output model …Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Stochastic Finite Elements: A Spectral Approach (1991)Global Sensitivity Analysis (1995)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)General formulation of HDMR component functions with independent and correlated variables (2011)Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment (2017)Sensitivity measures,anova-like Techniques and the use of bootstrap (1997)General foundations of high‐dimensional model representations (1999)Theorems and examples on high dimensional model representation (2003)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Global Sensitivity Analysis. The Primer (2007)Model emulation and moment-independent sensitivity analysis: An application to environmental modelling (2011)Sensitivity analysis methods in the biomedical sciences (2020)Surrogate-assisted global sensitivity analysis: an overview (2020)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)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Determination of the uncertainty domain of the Arrhenius parameters needed for the investigation of combustion kinetic models (2011)Bayesian Error Propagation for a Kinetic Model of n‐Propylbenzene Oxidation in a Shock Tube (2014)Investigation of the effect of correlated uncertain rate parameters on a model of hydrogen combustion using a generalized HDMR method (2016)Stochastic free vibration analysis of angle-ply composite plates – A RS-HDMR approach (2014)Accelerate global sensitivity analysis using artificial neural network algorithm: Case studies for combustion kinetic model (2016)An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations (2010)Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs (2010)State Dependent Parameter metamodelling and sensitivity analysis (2007)A new uncertainty importance measure (2006)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)SALib: An open-source Python library for Sensitivity Analysis (2017)
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References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 2001High Dimensional Model Representations497 cited
  • 1999Efficient input—output model representations462 cited
  • 2002Practical Approaches To Construct RS-HDMR Component Functions275 cited
  • 2008GUI–HDMR – A software tool for global sensitivity analysis of complex models210 cited
  • 2002Global uncertainty assessments by high dimensional model representations (HDMR)179 cited
  • 2008A global sensitivity study of sulfur chemistry in a premixed methane flame model using HDMR124 cited
  • 2006The use of global uncertainty methods for the evaluation of combustion mechanisms62 cited
  • 2006Input screening: Finding the important model inputs on a budget23 cited

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