Matrix Analysis for Statistics, 2nd Edition |
| Wiley Series in Probability and Statistics |
| James R. Schott (Univ. of Central Florida, Orlando ) |
| 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. The subject matter is presented in a theorem/proof format, allowing for a smooth transition from one topic to another. Proofs are easy to follow, and the author carefully justifies every step. Accessible even for readers with a cursory background in statistics, yet rigorous enough for students in statistics, this new edition is the ideal introduction to matrix analysis theory and practice.
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| Cloth Bound |
Pages, 6-1/8 x 9-1/4 in.
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Item #:
Price: |
0471669830
$115.00 |
John Wiley & Sons, Inc. | |
