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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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Yanai, Haruo (Author), Takeuchi, Kei (Author), Takane, Yoshio (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:Statistics for Social and Behavioral Sciences,
Subjects:
Online Access:Texto Completo