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Moment-independent importance measure of basic random variable and its probability density evolution solution
6 references·16 citing·37 second hop
Moment-independent importance measure of basic random variable and its probability density evolution solution (2010)Moment-independent importance measure of …The equivalent extreme-value event and evaluation of the structural system reliability (2006)The equivalent extreme-value …A new uncertainty importance measure (2006)A new uncertainty importance …Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…An uncertainty importance measure using a distance metric for the change in a cumulative distribution function (2000)An uncertainty importance mea…A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis (1990)A Robust Measure of Uncertain…Reliability sensitivity analysis based on a two-stage Markov chain Monte Carlo simulation (2022)Reliability sensitivity analy…Variance-based reliability sensitivity analysis and the FORM α -factors (2021)Variance-based reliability se…Statistical developments for target and conditional sensitivity analysis: Application on safety studies for nuclear reactor (2021)Statistical developments for …New Importance Measures Based on Failure Probability in Global Sensitivity Analysis of Reliability (2021)New Importance Measures Based…Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs (2021)Developments and applications…An efficient method for moment-independent global sensitivity analysis by dimensional reduction technique and principle of maximum entropy (2018)An efficient method for momen…An efficient method based on Bayes’ theorem to estimate the failure-probability-based sensitivity measure (2018)An efficient method based on …A new efficient simulation method based on Bayes' theorem and importance sampling Markov chain simulation to estimate the failure-probability-based global sensitivity measure (2018)A new efficient simulation me…Temporal and spatial multi-parameter dynamic reliability and global reliability sensitivity analysis based on the extreme value moments (2017)Temporal and spatial multi-pa…Structural reliability sensitivity analysis based on classification of model output (2017)Structural reliability sensit…Multivariate sensitivity analysis based on the direction of eigen space through principal component analysis (2017)Multivariate sensitivity anal…Borgonovo moment independent global sensitivity analysis by Gaussian radial basis function meta-model (2017)Borgonovo moment independent …A modified importance sampling method for structural reliability and its global reliability sensitivity analysis (2017)A modified importance samplin…Time-variant global reliability sensitivity analysis of structures with both input random variables and stochastic processes (2016)Time-variant global reliabili…A new method for evaluating Borgonovo moment-independent importance measure with its application in an aircraft structure (2014)A new method for evaluating B…Moment-independent importance measure of basic variable and its state dependent parameter solution (2012)Moment-independent importance…Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Statistics for Experimenters (1979)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)“Opening Up” and “Closing Down” (2007)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Importance measures in global sensitivity analysis of nonlinear models (1996)An importance quantification technique in uncertainty analysis for computer models (2002)Model emulation and moment-independent sensitivity analysis: An application to environmental modelling (2011)Exact and Invariant Second-Moment Code Format (1974)Method for Random Vibration of Hysteretic Systems (1976)Structural Reliability Methods (1996)Advances of the probability density evolution method for nonlinear stochastic systems (2011)A Nested Extreme Response Surface Approach for Time-Dependent Reliability-Based Design Optimization (2012)Random function based spectral representation of stationary and non-stationary stochastic processes (2016)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments 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Design and estimator for the total sensitivity index (2009)The Maximum Deng Entropy (2019)Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches (2006)Moment Independent Importance Measures: New Results and Analytical Test Cases (2010)Reliability sensitivity estimation with sequential importance sampling (2018)A general decoupling approach for time- and space-variant system reliability-based design optimization (2019)An adaptive multiple-Kriging-surrogate method for time-dependent reliability analysis (2019)Efficient methods by active learning Kriging coupled with variance reduction based sampling methods for time-dependent failure probability (2019)
this work references cited by second hop

References

  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2006The equivalent extreme-value event and evaluation of the structural system reliability447 cited
  • 1990A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis264 cited
  • 2000An uncertainty importance measure using a distance metric for the change in a cumulative distribution function195 cited

Cited by

  • 2012Moment-independent importance measure of basic variable and its state dependent parameter solution146 cited
  • 2017Temporal and spatial multi-parameter dynamic reliability and global reliability sensitivity analysis based on the extreme value moments80 cited
  • 2018An efficient method for moment-independent global sensitivity analysis by dimensional reduction technique and principle of maximum entropy76 cited
  • 2017Structural reliability sensitivity analysis based on classification of model output75 cited
  • 2017A modified importance sampling method for structural reliability and its global reliability sensitivity analysis69 cited
  • 2021Variance-based reliability sensitivity analysis and the FORM α -factors68 cited
  • 2014A new method for evaluating Borgonovo moment-independent importance measure with its application in an aircraft structure

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49 cited
  • 2017Multivariate sensitivity analysis based on the direction of eigen space through principal component analysis48 cited
  • 2018An efficient method based on Bayes’ theorem to estimate the failure-probability-based sensitivity measure48 cited
  • 2017Borgonovo moment independent global sensitivity analysis by Gaussian radial basis function meta-model47 cited
  • 2021Statistical developments for target and conditional sensitivity analysis: Application on safety studies for nuclear reactor47 cited
  • 2021Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs47 cited
  • 2021New Importance Measures Based on Failure Probability in Global Sensitivity Analysis of Reliability44 cited
  • 2016Time-variant global reliability sensitivity analysis of structures with both input random variables and stochastic processes43 cited
  • 2022Reliability sensitivity analysis based on a two-stage Markov chain Monte Carlo simulation42 cited
  • 2018A new efficient simulation method based on Bayes' theorem and importance sampling Markov chain simulation to estimate the failure-probability-based global sensitivity measure39 cited