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A Methodology for Determining Interactions in Probabilistic Safety Assessment Models by Varying One Parameter at a Time
16 references·3 citing·29 second hop
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References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1998US Environmental Protection Agency5,897 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 1948Foundations of Economic Analysis2,965 cited
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 2007An effective screening design for sensitivity analysis of large models2,024 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 1999General foundations of high‐dimensional model representations905 cited
  • 2000Sensitivity Analysis as an Ingredient of Modeling604 cited
  • 2006Sensitivity analysis practices: Strategies for model-based inference576 cited
  • 2003Theorems and examples on high dimensional model representation450 cited
  • 2002On the Relative Importance of Input Factors in Mathematical Models447 cited
  • 2006Estimating the approximation error when fixing unessential factors in global sensitivity analysis395 cited
  • 2001A new importance measure for risk-informed decision making

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274 cited
  • 2006Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches258 cited
  • Cited by

    • 2016Capital depreciation and the underdetermination of rate of return: A unifying perspective27 cited
    • 2016A kernel estimate method for characteristic function-based uncertainty importance measure15 cited
    • 2013A fast computational method for moment-independent uncertainty importance measure13 cited