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Titlebook: Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition; Haruo Yanai,Kei Takeuchi,Yoshio Takane Book 2011 Spri

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书目名称Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition
编辑Haruo Yanai,Kei Takeuchi,Yoshio Takane
视频video
概述The book will serve as a useful reference on projectors, generalized inverses, and SVD.Many of the concepts discussed in the book have been developed only recently.All three authors of the present boo
丛书名称Statistics for Social and Behavioral Sciences
图书封面Titlebook: Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition;  Haruo Yanai,Kei Takeuchi,Yoshio Takane Book 2011 Spri
描述.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 one subspace onto another, and the latter underlies principal component analysis, which seeks to find a subspace that captures the largest variability in the original space..This book is about projections and SVD. A thorough discussion of generalized inverse (g-inverse) matrices is also given because it is closely related to the former. The book provides systematic and in-depth accounts of these concepts from a unified viewpoint of linear transformations finite dimensional vector spaces. More specially, it shows that projection matrices (projectors) and g-inverse matrices can be defined in various ways so that a vector space is decomposed into a direct-sum of (disjoint) subspaces. .Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition. will be useful for researchers, practitioners, and students in applied mathematics, statistics, engineering, behaviormetrics,
出版日期Book 2011
关键词Multivariate analysis; g-inverse matrices; linear transformations; projections; singular value decomposi
版次1
doihttps://doi.org/10.1007/978-1-4419-9887-3
isbn_softcover978-1-4614-2859-6
isbn_ebook978-1-4419-9887-3Series ISSN 2199-7357 Series E-ISSN 2199-7365
issn_series 2199-7357
copyrightSpringer Science+Business Media, LLC 2011
The information of publication is updating

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