Sensitivity measures,anova-like Techniques and the use of bootstrap 论文

1997Journal of Statistical Computation and Simulation引用 539
Probabilistic and Robust Engineering DesignAdvanced Multi-Objective Optimization AlgorithmsOptimal Experimental Design Methods

摘要

Sobol' sensitivity indices,used in variance based global sensitivity analysis of model output,are compared with the Analysis of Variance in classical factorial design. Monte Carlo computation of Sobol' indices is described briefly, and a bootstrap approach is presented,which can be used to produce a confidence interval for the true,unknown indices.