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Basic Operations. Special Matrices. Determinants. Inverse Matrices. Rank. Canonical Forms. Generalized Inverses. Solving Linear Equations. Partitioned Matrices. Eigenvalues and Eigenvectors. Miscellanea. Applications in Statistics. The Matrix Algebra of Regression Analysis. An Introduction to Linear Statistical Models. References. Index.
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Schmee et al. (1985) studied this question.
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