A <i>p</i>-value based dimensionality reduction test for high dimensional means-Reference-Cited by-同舟云学术

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A p-value based dimensionality reduction test for high dimensional means

Published:2023-02-27 Issue:2 Volume:57 Page:282-299
ISSN:0233-1888
Container-title:Statistics
language:en
Short-container-title:Statistics

Author:

Fang Hongyan¹,Yao Chunyu²,Yang Wenzhi¹,Wang Xuejun¹,Xu Huang³

Affiliation:

1. School of Big Data and Statistics, Anhui University, Hefei, Anhui, People's Republic of China

2. School of Mathematical Sciences, Anhui University, Hefei, Anhui, People's Republic of China

3. Department of Statistics and Finance, University of Science and Technology of China, Hefei, Anhui, People's Republic of China

Funder

National Social Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331888.2023.2179627

Reference20 articles.

1. The Generalization of Student's Ratio

2. Central limit theorem for Hotelling’s T2 statistic under large dimension

3. A High-Dimensional Nonparametric Multivariate Test for Mean Vector

4. A two-sample test for high-dimensional data with applications to gene-set testing

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