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 |
Language: | English |
Published: |
Hoboken, N.J. :
Wiley,
[2005]
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Edition: | Second edition. |
Series: | Wiley series in probability and statistics
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NYU
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QA188 .S24 2005 |
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Lehigh
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512.9434 S375m 2005 |
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Drexel
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QA188 .S24 2005 |
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Carnegie Mellon
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University of Pittsburgh
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Temple
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QA188 .S24 2005 |
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Slippery Rock
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University of Pennsylvania
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QA188 .S24 2005 |
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