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Material and morphology parameter sensitivity analysis in particulate composite materials
10 references·0 citing·42 second hop
Material and morphology parameter sensitivity analysis in particulate composite materials (2017)Material and morphology parameter sensiti…How to avoid a perfunctory sensitivity analysis (2010)How to avoid a perfunctory se…Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs (2010)Global Sensitivity Analysis f…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Identification and Review of Sensitivity Analysis Methods (2002)Identification and Review of …Interpolation of Spatial Data: Some Theory for Kriging (2000)Interpolation of Spatial Data…Interpolation of Spatial Data: Some Theory for Kriging (2000)Interpolation of Spatial Data…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models (1988)An Investigation of Uncertain…Sensitivity Analysis in Chemical Kinetics (1983)Sensitivity Analysis in Chemi…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Ratings and Rankings: Voodoo or Science? (2012)Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis (2015)Weights and importance in composite indicators: Closing the gap (2017)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)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A distribution-free approach to inducing rank correlation among input variables (1982)Sensitivity Analysis as an Ingredient of Modeling (2000)Sensitivity Anaysis as an Ingredient of Modeling (2000)Model-based design of experiments for parameter precision: State of the art (2007)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)STATISTICS FOR SPATIAL DATA (1992)Statistics for Spatial Data. (1993)Model-Based Geostatistics (1998)Use of Kriging Models to Approximate Deterministic Computer Models (2005)Spatial Panel Econometrics (2008)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)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)From screening to quantitative sensitivity analysis. A unified approach (2011)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis (2002)Combustion kinetic model uncertainty quantification, propagation and minimization (2014)What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models (2015)Optimal experimental design and some related control problems (2007)Cross-Covariance Functions for Multivariate Geostatistics (2015)A unified framework for stochastic optimization (2018)
this work references cited by second hop

References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2000Interpolation of Spatial Data: Some Theory for Kriging1,916 cited
  • 2002Identification and Review of Sensitivity Analysis Methods1,035 cited
  • 2010How to avoid a perfunctory sensitivity analysis1,000 cited
  • 2000Interpolation of Spatial Data: Some Theory for Kriging779 cited
  • 1988An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models609 cited
  • 1983Sensitivity Analysis in Chemical Kinetics536 cited
  • 2010Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs242 cited

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