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.
翻译:Epps和Pulley(1983年)提出的正常性测试是依据经验分配功能进行测试的严重竞争者,与后一种程序不同,普遍采用这种测试,以获得对任何层面正常性的真正等同和普遍一致的测试。我们获得了Epps和Pulley测试的大约巴哈杜尔效率,从而补充了Milo\v{s}ev{ev>evi\c等人(2021年)的最新结果。对于Epps-Pulley测试所固有的调试参数的某些值,这一测试优于Milo\v{s}ev{ev{evi\c'c等人(2021年)中考虑的每个竞争者,而整个范围是接近正常性的六种替代物。