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New Importance Measures Based on Failure Probability in Global Sensitivity Analysis of Reliability
16 references·7 citing·31 second hop
New Importance Measures Based on Failure Probability in Global Sensitivity Analysis of Reliability (2021)New Importance Measures Based on Failure …Surrogate-assisted global sensitivity analysis: an overview (2020)Surrogate-assisted global sen…Solving Civil Engineering Problems by Means of Fuzzy and Stochastic MCDM Methods: Current State and Future Research (2015)Solving Civil Engineering Pro…Sensitivity analysis: A review of recent advances (2015)Sensitivity analysis: A revie…Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis (2015)Global sensitivity analysis-e…Moment-independent importance measure of basic variable and its state dependent parameter solution (2012)Moment-independent importance…Efficient sampling methods for global reliability sensitivity analysis (2012)Efficient sampling methods fo…Moment-independent importance measure of basic random variable and its probability density evolution solution (2010)Moment-independent importance…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …A new uncertainty importance measure (2006)A new uncertainty importance …Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design (2005)Relative Entropy Based Method…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Detecting Trends Using Spearman's Rank Correlation Coefficient (2001)Detecting Trends Using Spearm…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Omission sensitivity factors (1988)Omission sensitivity factorsSmall sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)Small sample sensitivity anal…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…Efficient global reliability sensitivity method by combining dimensional reduction integral with stochastic collocation (2025)Efficient global reliability …Probabilistically modelled geometrical imperfections for reliability analysis of vertically loaded steel frames (2024)Probabilistically modelled ge…Stochastic collocation enhanced line sampling method for reliability analysis (2023)Stochastic collocation enhanc…Reliability-oriented global sensitivity analysis using subset simulation and space partition (2023)Reliability-oriented global s…An eccentric radial-based importance sampling method for reliability analysis (2023)An eccentric radial-based imp…Estimation of failure probability-based-global-sensitivity using the theorem of Bayes and subset simulation (2022)Estimation of failure probabi…An efficient Kriging model-based importance sampling method for estimating the failure probability-based parameter global sensitivity index with uncertain distribution parameters (2022)An efficient Kriging model-ba…Design and Analysis of Computer Experiments (1989)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)A general failure-pursuing sampling framework for surrogate-based reliability analysis (2018)ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods (2018)Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables (2019)Factorial Sampling Plans for Preliminary Computational Experiments (1991)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)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Reliability sensitivity analysis with random and interval variables (2009)Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models (2017)Structural Reliability Analysis and Prediction (2017)Distribution-based sensitivity analysis from a generic input-output sample (2018)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)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)Differences in prevalence rates of PTSD in various European countries explained by war exposure, other trauma and cultural value orientation (2014)Decoupling analysis of world economic growth and CO2 emissions: A study comparing developed and developing countries (2018)MATERIALITY ANALYSIS IN SUSTAINABILITY REPORTING: A TOOL FOR DIRECTING CORPORATE SUSTAINABILITY TOWARDS EMERGING ECONOMIC, ENVIRONMENTAL AND SOCIAL OPPORTUNITIES (2019)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Optimal Latin-hypercube designs for computer experiments (1994)Sensitivity Analysis for Chemical Models (2005)A distribution-free approach to inducing rank correlation among input variables (1982)Uniform Design: Theory and Application (2000)
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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 2015Sensitivity analysis: A review of recent advances1,172 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 1980Small sample sensitivity analysis techniques for computer models.with an application to risk assessment837 cited
  • 2001Detecting Trends Using Spearman's Rank Correlation Coefficient516 cited
  • 2005Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design269 cited
  • 2015Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis185 cited
  • 2020Surrogate-assisted global sensitivity analysis: an overview165 cited
  • 2012Efficient sampling methods for global reliability sensitivity analysis157 cited
  • 2010Moment-independent importance measure of basic random variable and its probability density evolution solution152 cited
  • 2012Moment-independent importance measure of basic variable and its state dependent parameter solution

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146 cited
  • 1988Omission sensitivity factors137 cited
  • 2015Solving Civil Engineering Problems by Means of Fuzzy and Stochastic MCDM Methods: Current State and Future Research116 cited
  • Cited by

    • 2023Reliability-oriented global sensitivity analysis using subset simulation and space partition21 cited
    • 2023An eccentric radial-based importance sampling method for reliability analysis17 cited
    • 2022An efficient Kriging model-based importance sampling method for estimating the failure probability-based parameter global sensitivity index with uncertain distribution parameters15 cited
    • 2023Stochastic collocation enhanced line sampling method for reliability analysis14 cited
    • 2025Efficient global reliability sensitivity method by combining dimensional reduction integral with stochastic collocation11 cited
    • 2024Probabilistically modelled geometrical imperfections for reliability analysis of vertically loaded steel frames9 cited
    • 2022Estimation of failure probability-based-global-sensitivity using the theorem of Bayes and subset simulation8 cited