Projection matrices, generalized inverse matrices, and singular value decomposition
Aside from distribution theory, projections and the singular value decomposition (SVD) are the two most important concepts for understanding the basic mechanism of multivariate analysis. The former underlies the least squares estimation in regression analysis, which is essentially a projection of on...
| मुख्य लेखक: | |
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| निगमित लेखक: | |
| अन्य लेखक: | , |
| स्वरूप: | Electronic Resource |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
New York
Springer
2011
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| श्रृंखला: | Statistics for social and behavioral sciences
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| विषय: | |
| ऑनलाइन पहुंच: | Available for University of the Philippines Diliman via SpringerLink. Click here to access |