Summary
In this paper we extend Ruben's [4] result for quadratic forms in normal variables. He represented the distribution function of the quadratic form in normal variables as an infinite mixture of chi-square distribution functions. In the central case, we show that the distribution function of a quadratic form int-variables can be represented as a mixture of beta distribution functions. In the noncentral case, the distribution function presented is an infinite series in beta distribution functions. An application to quadratic discrimination is given.
Similar content being viewed by others
References
Box, G. E. P. and Tiao, G. C. (1973).Bayesian Inference in Statistical Analysis, Addison-Wesley Publishing Co, Reading.
Desu, M. M. and Geisser, S. (1973). Methods and applications of equal-mean discrimination,Discriminant Analysis and Applications (ed. T. Cacoullos), Academic Press, Inc, New York, 139–159.
Kendall, M. G. and Stuart, A. (1969).The Advanced Theory of Statistics I, 3rd edition, Hafner Publishing Co., New York.
Ruben, H. (1962). Probability content of regions under spherical normal distribution IV,Ann. Math. Statist.,33, 542–570.
Sheil, J. and O'Muircheartaigh, I. (1977). The distribution of non-negative quadratic forms in normal variables,Appl. Statist.,26, 92–98.
Author information
Authors and Affiliations
About this article
Cite this article
Menzefricke, U. On positive definite quadratic forms in correlatedt variables. Ann Inst Stat Math 33, 385–390 (1981). https://doi.org/10.1007/BF02480949
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/BF02480949