© 1985 by Biometrika Trust
MISCELLANEA |
The Mahalanobis distance and elliptic distributions
Department of Mathematics, Imperial College London SW7 2BZ, U.K.
Department of Applied statistics, University of Reading Reading RG6 2 AN, U.K.
The Mahalanobis distance is shown to be an appropriate measure of distance between two elliptic distributions having different locations but a common shape. This extends a result long familiar in multivariate analysis to a class of nonnormal distributions. It can also be used to show that the sample version of the Mahalanobis distance is appropriate under both estimative and predictive approaches to estimation for the family of multivariate normal distributions differing only in location.
Key Words: Elliptic distribution Mahalanobis distance Multivariate t-distribution Predictive estimation; Rao's distance measure