Matrix analysis for statistics
Matrix Analysis for Statistics, Second Edition provides in-depth, step-by-step coverage of the most common matrix methods now used in statistical applications, including eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix differentiation; the distribution of quadratic forms; and more. Th...
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| Format: | Book |
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Hoboken, N.J.
Wiley
2005
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| Institutions: | Trung tâm Học liệu Trường Đại học Cần Thơ |
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