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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2011.
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| Edición: | 1st ed. 2011. |
| Colección: | Statistics for Social and Behavioral Sciences,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Fundamentals of Linear Algebra
- Projection Matrices
- Generalized Inverse Matrices
- Explicit Representations
- Singular Value Decomposition (SVD)
- Various Applications.