title: Exact Inference for the Dispersion Matrix.
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.
authors.affiliation: Department of Biostatistics, University at Buffalo, 706 Kimball Tower, 3435 Main Street, Buffalo, NY 14214-3000, USA.
authors.forename: Alan D
authors.initials: AD
authors.lastname: Hutson
authors.affiliation: Department of Biostatistics, University at Buffalo, 706 Kimball Tower, 3435 Main Street, Buffalo, NY 14214-3000, USA.
authors.forename: Gregory E
authors.initials: GE
authors.lastname: Wilding
authors.affiliation: Department of Biostatistics, University at Buffalo, 706 Kimball Tower, 3435 Main Street, Buffalo, NY 14214-3000, USA.
authors.forename: Jihnhee
authors.initials: J
authors.lastname: Yu
authors.affiliation: Department of Biostatistics, University at Buffalo, 706 Kimball Tower, 3435 Main Street, Buffalo, NY 14214-3000, USA.
authors.forename: Albert
authors.initials: A
authors.lastname: Vexler