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	Multiple permutation test for high-dimensional data: a components-combined algorithm
	Wei Yu; Wangli Xu; Lixing Zhu
刊名	Journal of Statistical Computation and Simulation
	2019
卷号	Vol.89 No.4页码:686-707
关键词	Components-combined algorithm multiple permutation testing mean testing correlation matrices testing type I error rate
ISSN号	0094-9655;1563-5163
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4737780
专题	湖南大学
作者单位	1.School of Mathematics, Anhui University, Hefei, People's Republic of China Center for Applied Statistics, School of Statistics, Renmin University of China, Beijing, People's Republic of China School of Statistics, Beijing Normal University, Beijing, People's Republic of China 2.Department of Mathematics, Hong Kong Baptist University, Kowloon Tong, Hong Kong
推荐引用方式 GB/T 7714	Wei Yu,Wangli Xu,Lixing Zhu. Multiple permutation test for high-dimensional data: a components-combined algorithm[J]. Journal of Statistical Computation and Simulation,2019,Vol.89 No.4:686-707.
APA	Wei Yu,Wangli Xu,&Lixing Zhu.(2019).Multiple permutation test for high-dimensional data: a components-combined algorithm.Journal of Statistical Computation and Simulation,Vol.89 No.4,686-707.
MLA	Wei Yu,et al."Multiple permutation test for high-dimensional data: a components-combined algorithm".Journal of Statistical Computation and Simulation Vol.89 No.4(2019):686-707.

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