The general common Hermitian nonnegative-definite solution to the matrix equations AXA*=BB* and CXC*=DD* with applications in statistics
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).
Year of publication: |
2005
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Authors: | Zhang, Xian |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 93.2005, 2, p. 257-266
|
Publisher: |
Elsevier |
Keywords: | Hermitian (symmetric) nonnegative-definite solution Hermitian (symmetric) positive-definite solution Matrix equation Kernel space Column space Moore-Penrose generalized inverse Linear hypothesis Multivariate linear model |
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