The derivative based variance sensitivity analysis for the distribution parameters and its computation
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Pan Wang | Zhenzhou Lu | Lei Cheng | Bo Ren | Zhenzhou Lu | Pan Wang | B. Ren | Lei Cheng | Z. Lu | Zhenzhou Lu
[1] Moon-Hyun Chun,et al. An uncertainty importance measure using a distance metric for the change in a cumulative distribution function , 2000, Reliab. Eng. Syst. Saf..
[2] C. Leake. Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method , 1994 .
[3] Sankaran Mahadevan,et al. Separating the contributions of variability and parameter uncertainty in probability distributions , 2013, Reliab. Eng. Syst. Saf..
[4] Erich Novak,et al. High dimensional polynomial interpolation on sparse grids , 2000, Adv. Comput. Math..
[5] Stefano Tarantola,et al. Sensitivity Analysis in Practice , 2002 .
[6] P. Verheijen,et al. Local and Global Sensitivity Analysis for a Reactor Design with Parameter Uncertainty , 2004 .
[7] Dongbin Xiu,et al. High-Order Collocation Methods for Differential Equations with Random Inputs , 2005, SIAM J. Sci. Comput..
[8] I. Sobola,et al. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates , 2001 .
[9] Harry R. Millwater,et al. Universal properties of kernel functions for probabilistic sensitivity analysis , 2009 .
[10] Ying Xiong,et al. A new sparse grid based method for uncertainty propagation , 2010 .
[11] Wei Yu,et al. Parameter uncertainty effects on variance-based sensitivity analysis , 2009, Reliab. Eng. Syst. Saf..
[12] K. Ritter,et al. High dimensional integration of smooth functions over cubes , 1996 .
[13] Tamás Turányi,et al. Local and global uncertainty analysis of complex chemical kinetic systems , 2006, Reliab. Eng. Syst. Saf..
[14] E. Borgonovo. Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches , 2006, Risk analysis : an official publication of the Society for Risk Analysis.
[15] Wenrui Hao,et al. Importance measure of correlated normal variables and its sensitivity analysis , 2012, Reliab. Eng. Syst. Saf..
[16] Harry Millwater,et al. Development of a localized probabilistic sensitivity method to determine random variable regional importance , 2012, Reliab. Eng. Syst. Saf..
[17] A. Saltelli,et al. Sensitivity analysis of an environmental model: an application of different analysis methods , 1997 .
[18] Jon C. Helton,et al. Survey of sampling-based methods for uncertainty and sensitivity analysis , 2006, Reliab. Eng. Syst. Saf..
[19] Andrea Saltelli,et al. Sensitivity Analysis for Importance Assessment , 2002, Risk analysis : an official publication of the Society for Risk Analysis.
[20] I. Sobol. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates , 2001 .
[21] Pan Wang,et al. A derivative based sensitivity measure of failure probability in the presence of epistemic and aleatory uncertainties , 2013, Comput. Math. Appl..
[22] Gregery T. Buzzard,et al. Global sensitivity analysis using sparse grid interpolation and polynomial chaos , 2012, Reliab. Eng. Syst. Saf..
[23] Jack P. C. Kleijnen,et al. Optimization and Sensitivity Analysis of Computer Simulation Models by the Score Function Method , 1996 .
[24] Jason H. Goodfriend,et al. Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method , 1995 .
[25] Dongbin Xiu,et al. Variance-based global sensitivity analysis via sparse-grid interpolation and cubature , 2011 .
[26] Reuven Y. Rubinstein,et al. Sensitivity Analysis and Performance Extrapolation for Computer Simulation Models , 1989, Oper. Res..
[27] A. Saltelli,et al. Making best use of model evaluations to compute sensitivity indices , 2002 .
[28] S. Hora,et al. A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis , 1990 .
[29] D. Shahsavani,et al. Variance-based sensitivity analysis of model outputs using surrogate models , 2011, Environ. Model. Softw..
[30] George Z. Gertner,et al. Understanding and comparisons of different sampling approaches for the Fourier Amplitudes Sensitivity Test (FAST) , 2011, Comput. Stat. Data Anal..
[31] Thomas Gerstner,et al. Numerical integration using sparse grids , 2004, Numerical Algorithms.