Abstract
Expressions for the entries of the information matrix and skewness tensor of a general multivariate elliptic distribution are obtained. From these the coefficients of the a-connections are derived. A general expression for the asymptotic efficiency of the sample mean, when appropriate as an estimator of the location parameter, is obtained. The results are illustrated by examples from the multivariate normal, Cauchy and Student's t-distributions.
Similar content being viewed by others
References
Amari, S-I. (1985). Differential-Geometrical Methods in Statistics, Lecture Notes in Statistics, 28, Springer-Verlag, Berlin.
Anderson, T. W. and Stephens, M. A. (1972). Tests for randomness of directions against equatorial and bimodal alternatives, Biometrika, 59, 613–621.
Chmielewski, M. A. (1981). Elliptically symmetric distributions: A review and bibliography, Internat. Statist. Rev., 49, 67–74.
Davis, A. W. (1979). Invariant polynomials with two matrix arguments extending the zonal polynomials: Applications to multivariate distribution theory, Ann. Inst. Statist. Math., 31, 465–485.
Davis, A. W. (1981). On the construction of a class of invariant polynomials in several matrices, extending the zonal polynomials, Ann. Inst. Statist. Math., 33, 207–313.
Dwyer, P. S. (1967). Some applications of matrix derivatives in multivariate analysis. J. Amer. Statist. Assoc., 62, 607–625.
Hayakawa, T. (1980). On the distribution of the likelihood ratio criterion for a covariance matrix, Recent Developments in Statistical Inference and Data Analysis, 79–84, North-Holland.
Hsu, H. (1985). Invariant tests and likelihood ratio rests for multivariate elliptically contoured distributions, Tech. Report No. 14, Department of Statistics, Stanford University.
James, A. T. (1964). Distributions of matrix variates and latent roots derived from normal samples, Ann. Math. Statist., 35, 475–501.
Kelker, D. (1970). Distribution theory of spherical distributions and a location-scale parameter generslization, Sankhyā Ser, A, 32, 419–430.
Lord, R. D. (1954). The use of the Hankel transform in statistics, I. General theory and example, Biometrika, 41, 44–45.
Maronna, R. A. (1976). Robust M-estimators of multivariate location and scatter, Ann. Statist., 4, 51–67.
McCullagh, P. (1987). Tensor Methods in Statistics, Chapman and Hall, London.
Mitchell, A. F. S. (1962). Sufficient statistics and orthogonal parameters, Proc. Camb. Philos. Soc., 58, 326–337.
Mitchell, A. F. S. (1987). Discussion of paper by D. R. Cox and N. Reid, J. Roy. Statist. Soc. Ser. B, 49, 26.
Mitchell, A. F. S. (1988). Statistical manifolds of univariate elliptic distributions, Internat. Statist. Rev., 56, 1–16.
Mitchell, A. F. S. and Krzanowski, W. (1985). The Mahalanobis distance and elliptic distributions, Biometrika, 72, 464–467.
Muirhead, R. J. (1982). Aspects of Multivariate Statistical Theory, Wiley, New York.
Skovgaard, L. T. (1984). A Riemannian geometry of the multivariate normal model, Scand. J. Statist., 11, 211–223.
Author information
Authors and Affiliations
About this article
Cite this article
Mitchell, A.E.S. The information matrix, skewness tensor and a-connections for the general multivariate elliptic distribution. Ann Inst Stat Math 41, 289–304 (1989). https://doi.org/10.1007/BF00049397
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF00049397