A high‐dimensional inverse norm sign test for two‐sample location problems

Author:

Huang Xifen1,Liu Binghui2ORCID,Zhou Qin3,Feng Long4ORCID

Affiliation:

1. School of Mathematics Yunnan Normal University Kunming 650500 China

2. Key Laboratory for Applied Statistics of MOE and School of Mathematics and Statistics Northeast Normal University Changchun 130024 China

3. School of Mathematics and Statistics, Research Institute of Mathematical Sciences, Jiangsu Provincial Key Laboratory of Educational Big Data Science and Engineering Jiangsu Normal University Xuzhou 221116 China

4. School of Statistics and Data Science KLMDASR, LEBPS, and LPMC, Nankai University Tianjin 300071 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference28 articles.

1. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays

2. Two‐sample tests for high‐dimension, strongly spiked eigenvalue models;Aoshima M.;Statistica Sinica,2018

3. Effect of high dimension: By an example of a two sample problem;Bai Z.;Statistica Sinica,1996

4. Two-sample test of high dimensional means under dependence

5. Simulation‐based hypothesis testing of high dimensional means under covariance heterogeneity

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