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
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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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