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A Gradient-based Sensitivity Analysis Method for Complex Systems
9 references·0 citing·30 second hop
A Gradient-based Sensitivity Analysis Method for Complex Systems (2019)A Gradient-based Sensitivity Analysis Met…Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Sensitivity analysis of envir…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Sensitivity Analysis in Pract…Random balance designs for the estimation of first order global sensitivity indices (2005)Random balance designs for th…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…Design and Analysis of Experiments (2000)Design and Analysis of Experi…One-Factor-at-a-Time versus Designed Experiments (1999)One-Factor-at-a-Time versus D…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…A review of techniques for parameter sensitivity analysis of environmental models (1994)A review of techniques for pa…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)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Making best use of model evaluations to compute sensitivity indices (2002)Calculations of Sobol indices for the Gaussian process metamodel (2008)Ratings and Rankings: Voodoo or Science? (2012)Sensitivity analysis: A review of recent advances (2015)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global Sensitivity Analysis. The Primer (2007)SALib: An open-source Python library for Sensitivity Analysis (2017)Design and Analysis of Experiments (1998)The spatial framework for weight sensitivity analysis in AHP-based multi-criteria decision making (2013)Application of Taguchi-Based Design of Experiments for Industrial Chemical Processes (2018)Certain trends in uncertainty and sensitivity analysis: An overview of software tools and techniques (2019)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)Global Sensitivity Analysis of environmental models: Convergence and validation (2016)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Tools for Composite Indicators Building (2005)Fundamental Concepts in the Design of Experiments (2000)Design and Analysis of Experiments (2001)Design and Analysis of Experiments (2006)
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References

  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 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
  • 2005Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,843 cited
  • 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
  • 2016Sensitivity analysis of environmental models: A systematic review with practical workflow1,722 cited
  • 2000Design and Analysis of Experiments1,163 cited
  • 1999One-Factor-at-a-Time versus Designed Experiments668 cited
  • 2005Random balance designs for the estimation of first order global sensitivity indices319 cited

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