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Sobol' sensitivity analysis method is widely used as a classical approach in global sensitivity analysis. this paper improves the integral used for calculating conditional variance, and proves that it can reduce error in the view of Monte Carlo method; besides, Sobol' low discrepancy sequence is replaced by another quasi-random numbers with lower star discrepancy generated by uniform design to increase accuracy of Quasi-Monte Carlo method. A numerical example verifies that both measures can effectively improve accuracy of estimation of sensitivity index for Quasi-Monte Carlo method.
Liu et al. (Thu,) studied this question.
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