Cochran theorem;
congruent matrix variables;
gamma random variable;
generalized Wishart distribution;
idempotent;
multivariate normal and elliptically contoured;
distributions;
Moore-Penrose inverse;
quadratic form;
spectral theorem;
zonal polynomial;
D O I:
10.1016/S0378-3758(98)00259-6
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
Let Y be a vector-elliptically contoured distributed n by p random matrix associated with a gamma (alpha, beta) random variable, where the mean of Y need not be zero and the covariance of Y may be singular and need not be the Kronecker product of the design covariance and the population covariance. A Cochran theorem about the quadratic forms of Y is obtained, when alpha=np and beta=2, it yields the most general Cochran theorem for a normal Y. (C) 1999 Published by Elsevier Science B.V. All rights reserved.