A combined p-value test for the mean difference of high-dimensional data
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摘要:
This paper proposes a novel method for testing the equality of high-dimensional means using a multiple hypothesis test.The proposed method is based on the maximum of standardized partial sums of logarithmic p-values statistic.Numerical studies show that the method performs well for both normal and non-normal data and has a good power performance under both dense and sparse alternative hypotheses.For illustration,a real data analysis is implemented.