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...
| المؤلف الرئيسي: | |
|---|---|
| مؤلف مشترك: | |
| مؤلفون آخرون: | , |
| التنسيق: | Electronic Resource |
| اللغة: | English |
| منشور في: |
New York
Springer
2011
|
| سلاسل: | Statistics for social and behavioral sciences
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | Available for University of the Philippines Diliman via SpringerLink. Click here to access |