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Efficient analysis of parametric sensitivity and uncertainty of fuel cell models with application to SOFC
16 references·0 citing·32 second hop
Efficient analysis of parametric sensitivity and uncertainty of fuel cell models with application to SOFC (2020)Efficient analysis of parametric sensitiv…Sensitivity analysis: A review of recent advances (2015)Sensitivity analysis: A revie…Uncertainty Quantification: Theory, Implementation, and Applications (2013)Uncertainty Quantification: T…Estimating Sobol sensitivity indices using correlations (2012)Estimating Sobol sensitivity …Spectral Methods for Uncertainty Quantification (2010)Spectral Methods for Uncertai…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …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…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Identification and Review of Sensitivity Analysis Methods (2002)Identification and Review of …Approach for Input Uncertainty Propagation and Robust Design in CFD Using Sensitivity Derivatives1 (2001)Approach for Input Uncertaint…Stochastic Response Surface Methods (SRSMs) for Uncertainty Propagation: Application to Environmental and Biological Systems (1998)Stochastic Response Surface M…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…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 …Notes on the use of propagation of error formulas (1966)Notes on the use of propagati…Notes on the use of propagation of error formulas (1965)Notes on the use of propagati…Design and Analysis of Computer Experiments (1989)Response Surface Methodology (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)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)Handbook on Constructing Composite Indicators (2005)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)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Empirical Model Building and Response Surfaces (1988)Risk, Ambiguity, and the Savage Axioms (1961)The Price of Robustness (2004)Risk assessment and risk management: Review of recent advances on their foundation (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (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)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Generalized numerical error analysis with applications to geochronology and thermodynamics (1987)Uncertainty Analysis in Multiplicative Models (1994)A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics (2020)A unified framework for stochastic optimization (2018)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)A state-of-the-art review on uncertainty analysis of rotor systems (2022)
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References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 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
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited
  • 2015Sensitivity analysis: A review of recent advances1,172 cited
  • 2013Uncertainty Quantification: Theory, Implementation, and Applications1,147 cited
  • 1966Notes on the use of propagation of error formulas1,087 cited
  • 2002Identification and Review of Sensitivity Analysis Methods1,035 cited
  • 2010Spectral Methods for Uncertainty Quantification953 cited
  • 1993Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal735 cited
  • 1998Stochastic Response Surface Methods (SRSMs) for Uncertainty Propagation: Application to Environmental and Biological Systems387 cited
  • 1965Notes on the use of propagation of error formulas353 cited
  • 2012

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Estimating Sobol sensitivity indices using correlations
153 cited
  • 2001Approach for Input Uncertainty Propagation and Robust Design in CFD Using Sensitivity Derivatives1118 cited
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