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The derivative based variance sensitivity analysis for the distribution parameters and its computation
16 references·0 citing·38 second hop
The derivative based variance sensitivity analysis for the distribution parameters and its computation (2013)The derivative based variance sensitivity…Understanding and comparisons of different sampling approaches for the Fourier Amplitudes Sensitivity Test (FAST) (2010)Understanding and comparisons…A new sparse grid based method for uncertainty propagation (2009)A new sparse grid based metho…Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Survey of sampling-based meth…Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches (2006)Measuring Uncertainty Importa…Sensitivity Analysis in Practice (2005)Sensitivity Analysis in Pract…High-Order Collocation Methods for Differential Equations with Random Inputs (2005)High-Order Collocation Method…Sensitivity Analysis in Practice (2002)Sensitivity Analysis in Pract…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…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…Sensitivity analysis of an environmental model: an application of different analysis methods (1997)Sensitivity analysis of an en…Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method (1995)Discrete Event Systems: Sensi…Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method (1994)Discrete Event Systems: Sensi…A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis (1990)A Robust Measure of Uncertain…Sensitivity Analysis and Performance Extrapolation for Computer Simulation Models (1989)Sensitivity Analysis and Perf…Design and Analysis of Computer Experiments (1989)Response Surface Methodology (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)How to avoid a perfunctory sensitivity analysis (2010)A Review on Global Sensitivity Analysis Methods (2015)The generalization of Latin hypercube sampling (2015)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)A new uncertainty importance measure (2006)“Opening Up” and “Closing Down” (2007)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Sensitivity analysis: Could better methods be used? (1999)Identification of reliable regression- and correlation-based sensitivity measures for importance ranking of water-quality model parameters (2007)Gradient Estimation via Perturbation Analysis (1991)Optimization via simulation: A review (1994)A simulation-based approach to two-stage stochastic programming with recourse (1998)A Guide to Sample Average Approximation (2014)Monte Carlo sampling-based methods for stochastic optimization (2014)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Moment Independent Importance Measures: New Results and Analytical Test Cases (2010)Handbook on Constructing Composite Indicators (2005)Global sensitivity analysis using polynomial chaos expansions (2007)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Minimax analysis of stochastic problems (2002)Stability of Stochastic Programming Problems (2003)Stochastic programming approach to optimization under uncertainty (2007)SALib: An open-source Python library for Sensitivity Analysis (2017)Estimating the approximation error when fixing unessential factors in global sensitivity analysis (2006)Derivative based global sensitivity measures and their link with global sensitivity indices (2009)From screening to quantitative sensitivity analysis. A unified approach (2011)
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References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 2005High-Order Collocation Methods for Differential Equations with Random Inputs1,522 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited
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  • 1989Sensitivity Analysis and Performance Extrapolation for Computer Simulation Models

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179 cited
  • 2010Understanding and comparisons of different sampling approaches for the Fourier Amplitudes Sensitivity Test (FAST)134 cited
  • 2009A new sparse grid based method for uncertainty propagation127 cited
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