Multiple comparisons of several heteroscedastic multivariate populations

  • Kakizawa Y
  • 2


    Mendeley users who have this article in their library.
  • 1


    Citations of this article.


This paper presents several statistics appearing in multiple comparisons of heteroscedastic multivariate populations. Due to the very slow convergence of these statistics to their limiting distributions, the large sample Bonferroni or DL-based procedures reveal poor coverage probabilities even in the normal case. Thus, the second-order asymptotic expansions with estimated cumulants are applied to improve their coverage probabilities. A large simulation study illustrates the performance of the second-order corrected procedures. © 2007 Elsevier B.V. All rights reserved.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free