Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition

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...

Full description

Bibliographic Details
Main Authors: Yanai, Haruo (Author), Takeuchi, Kei (Author), Takane, Yoshio (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2011.
Series:Statistics for Social and Behavioral Sciences
Subjects:
Statistics.
Statistics, general.
Statistics for Life Sciences, Medicine, Health Sciences.
Online Access:Full Text via HEAL-Link

Internet

Full Text via HEAL-Link

ΒΚΠ - Πατρα: ALFd

Holdings details from ΒΚΠ - Πατρα: ALFd
Call Number: 330.01 BAU
Copy 1 Available

ΒΚΠ - Πατρα: BSC

Holdings details from ΒΚΠ - Πατρα: BSC
Call Number: 330.01 BAU
Copy 2 Available
Copy 3 Available

Similar Items