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The test for normality suggested by Epps and Pulley (1983) is a serious competitor to tests based on the empirical distribution function. In contrast to the latter procedures, it has been generalized to obtain a genuine affine invariant and universally consistent test for normality in any dimension. We obtain approximate Bahadur efficiencies for the test of Epps and Pulley, thus complementing recent results of Milo\v{s}evi'c et al. (2021). For certain values of a tuning parameter that is inherent in the Epps–Pulley test, this test outperforms each of its competitors considered in Milo\v{s}evi'c et al. (2021), over the whole range of six close alternatives to normality.

生成讲解博客的中文版本

生成AI智能校验的中文版本