Table of Contents
Advances in Statistics
Volume 2014, Article ID 432805, 7 pages
http://dx.doi.org/10.1155/2014/432805
Research Article

Exact Inference for the Dispersion Matrix

Department of Biostatistics, University at Buffalo, 706 Kimball Tower, 3435 Main Street, Buffalo, NY 14214-3000, USA

Received 10 April 2014; Accepted 4 September 2014; Published 14 September 2014

Academic Editor: Lynn Kuo

Copyright © 2014 Alan D. Hutson et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We develop a new and novel exact permutation test for prespecified correlation structures such as compound symmetry or spherical structures under standard assumptions. The key feature of the work contained in this note is the distribution free aspect of our procedures that frees us from the standard and sometimes unrealistic multivariate normality constraint commonly needed for other methods.