Independence distribution preserving covariance structures for the multivariate linear model
Journal of Multivariate Analysis
Inertia and Rank Characterizations of Some Matrix Expressions
SIAM Journal on Matrix Analysis and Applications
Computers & Mathematics with Applications
A Hermitian least squares solution of the matrix equation AXB=C subject to inequality restrictions
Computers & Mathematics with Applications
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We deduce a necessary and sufficient condition for the matrix equations AXA* = BB* and CXC* = DD* to have a common Hermitian nonnegative-definite solution, and a representation of the general common Hermitian nonnegative-definite solution to these two equations when they have such common solutions. Thereby, we solve a statistical problem which is concerned in testing linear hypotheses about regression coefficients in the multivariate linear model. This paper is a revision of Young et al. (J. Multivariate Anal. 68 (1999) 165) whose mistake was pointed out in (Linear Algebra Appl. 321 (2000) 123).