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A permutation test for multivariate data with grouped components

Authors
Park, Hyo-IlHong, Seung-Man
Issue Date
2010
Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Keywords
grouped data; liner rank statistic; multivariate data; nonparametric test; permutation principle
Citation
JOURNAL OF APPLIED STATISTICS, v.37, no.5, pp.767 - 778
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF APPLIED STATISTICS
Volume
37
Number
5
Start Page
767
End Page
778
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/118679
DOI
10.1080/02664760902889973
ISSN
0266-4763
Abstract
In this paper, we consider a nonparametric test procedure for multivariate data with grouped components under the two sample problem setting. For the construction of the test statistic, we use linear rank statistics which were derived by applying the likelihood ratio principle for each component. For the null distribution of the test statistic, we apply the permutation principle for small or moderate sample sizes and derive the limiting distribution for the large sample case. Also we illustrate our test procedure with an example and compare with other procedures through simulation study. Finally, we discuss some additional interesting features as concluding remarks.
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