An asymptotic expansion of the distribution of Rao's U-statistic under a general condition

  • Arjun K. Gupta*
  • , Jin Xu
  • , Yasunori Fujikoshi
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

In this paper we consider the problem of testing the hypothesis about the sub-mean vector. For this propose, the asymptotic expansion of the null distribution of Rao's U-statistic under a general condition is obtained up to order of n-1. The same problem in the k-sample case is also investigated. We find that the asymptotic distribution of generalized U-statistic in the k-sample case is identical to that of the generalized Hotelling's T2 distribution up to n-1. A simulation experiment is carried out and its results are presented. It shows that the asymptotic distributions have significant improvement when comparing with the limiting distributions both in the small sample case and the large sample case. It also demonstrates the equivalence of two testing statistics mentioned above.

Original languageEnglish
Pages (from-to)492-513
Number of pages22
JournalJournal of Multivariate Analysis
Volume97
Issue number2
DOIs
StatePublished - Feb 2006
Externally publishedYes

Keywords

  • Characteristic function
  • Multivariate Hermite polynomials
  • Multivariate cumulants
  • Multivariate kurtosis
  • Multivariate skewness
  • Rao's U-statistic

Fingerprint

Dive into the research topics of 'An asymptotic expansion of the distribution of Rao's U-statistic under a general condition'. Together they form a unique fingerprint.

Cite this