A permutation test for multivariate data with grouped components

  • Park, Hyo-Il
  • Hong, Seung-Man
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초록

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.

키워드

grouped dataliner rank statisticmultivariate datanonparametric testpermutation principle2-SAMPLE TESTS
제목
A permutation test for multivariate data with grouped components
저자
Park, Hyo-IlHong, Seung-Man
DOI
10.1080/02664760902889973
발행일
2010
유형
Article
저널명
Journal of Applied Statistics
37
5
페이지
767 ~ 778