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We consider random discrepancy under weighted importance sampling of a class of stratified input. We give the expected discrepancy() upper bound in weighted form under a class of stratified sampling. This result contributes to the error estimate of the upper bound of the integral approximation under weighted importance sampling, and and our sampling pattern is a stratified input.

生成讲解博客的中文版本

生成AI智能校验的中文版本