文献详情
A combined p-value test for the mean difference of high-dimensional data
文献类型：期刊
通讯作者：Zhu, LX (reprint author), Beijing Normal Univ, Sch Stat, Beijing 100872, Peoples R China.; Zhu, LX (reprint author), Hong Kong Baptist Univ, Dept Math, Hong Kong, Peoples R China.
期刊名称：SCIENCE CHINA-MATHEMATICS影响因子和分区
年：2019
卷：62
期：5
页码：961-978
ISSN：1674-7283
关键词：high-dimensional data; equality of means; multiple hypothesis testing; sparse alternatives
所属部门：统计学院
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.
DOI：10.1007/s11425-017-9190-6
百度学术：A combined p-value test for the mean difference of high-dimensional data
语言：外文
人气指数：5
浏览次数：5
基金：University Grants Council of Hong Kong; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [11471335]; Ministry of Education Project of Key Research Institute of Humanities and Social Sciences at Universities [16JJD910002]; Fund for Building World-Class Universities (Disciplines) of Renmin University of China
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