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Estimation in a growth curve model with singular covariance
被引:4
|作者:
Wong, CS
Cheng, H
机构:
[1] Univ Windsor, Dept Econb Math & Stat, Windsor, ON N9B 3P4, Canada
[2] Analog Devices Inc, Westford, MA 01887 USA
基金:
加拿大自然科学与工程研究理事会;
关键词:
best quadratic unbiased estimator;
covariance structure;
image set of a generalized central Wishart random matrix;
maximum likelihood estimator;
linear regression constraint;
loss function;
mean structure;
sensible estimator;
D O I:
10.1016/S0378-3758(00)00220-2
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 multivariate normal random matrix with covariance A circle times Sigma and mean mu is an element of S1S2' where S-i = {X(i)b(i) : K-i'b(i) = M-i'u(i) for some u(i)} and S1S2' is the linear span of the set of all x(1)x(2)' with x(i) is an element of S-i. Explicit formulae are obtained for the estimators of (mu,Sigma). These estimators are investigated through a large class of loss functions and other principles. None of the matrices A, Sigma, X-i, K-i and M-i are assumed to have full column rank. For robust studies, elliptical Y is considered when it is appropriate, (C) 2001 Elsevier Science B.V. All rights reserved.
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页码:323 / 342
页数:20
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