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Importance analysis for model with mixed uncertainties
16 references·0 citing·36 second hop
Importance analysis for model with mixed uncertainties (2016)Importance analysis for model with mixed …Structural reliability analysis based on random distributions with interval parameters (2011)Structural reliability analys…Unified Uncertainty Analysis by the First Order Reliability Method (2008)Unified Uncertainty 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…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 approximate epistemic uncertainty analysis approach in the presence of epistemic and aleatory uncertainties (2002)An approximate epistemic unce…Probability, Reliability and Statistical Methods in Engineering Design (2001)Probability, Reliability and …Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…An uncertainty importance measure using a distance metric for the change in a cumulative distribution function (2000)An uncertainty importance mea…Probability, reliability and statistical methods in engineering design (1999)Probability, reliability and …Essay on uncertainties in elastic and viscoelastic structures: From A. M. Freudenthal's criticisms to modern convex modeling (1995)Essay on uncertainties in ela…Non-parametric statistics in sensitivity analysis for model output: A comparison of selected techniques (1990)Non-parametric statistics in …Convex Models of Uncertainty in Applied Mechanics (1990)Convex Models of Uncertainty …A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis (1990)A Robust Measure of Uncertain…A mathematical theory of evidence (1977)A mathematical theory of evid…Safety and the Probability of Structural Failure (1956)Statistical Methods in Structural Mechanics. (1970)Optimization of structures with uncertain constraints based on convex model and satisfaction degree of interval (2007)Structural reliability assessment based on probability and convex set mixed model (2009)An active learning kriging model for hybrid reliability analysis with both random and interval variables (2014)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)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)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)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments (1989)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)Antioptimization of structures with large uncertain-but-non-random parameters via interval analysis (1998)Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (2004)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Measures of agreement between computation and experiment: Validation metrics (2006)Adaptive Designs of Experiments for Accurate Approximation of a Target Region (2010)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)SALib: An open-source Python library for Sensitivity Analysis (2017)k-order additive discrete fuzzy measures and their representation (1997)A new distance between two bodies of evidence (2001)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Verification, validation, and predictive capability in computational engineering and physics (2004)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)
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References

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  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
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  • 2008Unified Uncertainty Analysis by the First Order Reliability Method249 cited
  • 2000An uncertainty importance measure using a distance metric for the change in a cumulative distribution function195 cited

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  • 2002An approximate epistemic uncertainty analysis approach in the presence of epistemic and aleatory uncertainties180 cited
  • 2011Structural reliability analysis based on random distributions with interval parameters165 cited
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