Title of article :
A permutation test for multivariate data with grouped components
Author/Authors :
Hyo-Il Park & Seung-Man Hong، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
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.
Keywords :
Grouped data , liner rank statistic , Multivariate data , Nonparametric test , permutationprinciple
Journal title :
JOURNAL OF APPLIED STATISTICS
Journal title :
JOURNAL OF APPLIED STATISTICS