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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| मुख्य लेखक: | |
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| स्वरूप: | पुस्तक |
| भाषा: | Undetermined |
| प्रकाशित: |
Hoboken, N.J.
Wiley
2005
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| विषय: | |
| टैग : |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|
| LEADER | 01267nam a2200205Ia 4500 | ||
|---|---|---|---|
| 001 | CTU_152888 | ||
| 008 | 210402s9999 xx 000 0 und d | ||
| 020 | |c 78.35 | ||
| 082 | |a 512.9434 | ||
| 082 | |b S375 | ||
| 100 | |a Schott, James R. | ||
| 245 | 0 | |a Matrix analysis for statistics | |
| 245 | 0 | |c James R. Schott | |
| 260 | |a Hoboken, N.J. | ||
| 260 | |b Wiley | ||
| 260 | |c 2005 | ||
| 520 | |a 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. | ||
| 650 | |a Matrices,Mathematical statistics,Ma trận,Thống kê toán học | ||
| 904 | |i Trọng Hiếu | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||