| 書目名稱 | Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition | | 編輯 | Haruo Yanai,Kei Takeuchi,Yoshio Takane | | 視頻video | http://file.papertrans.cn/761/760910/760910.mp4 | | 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 | | 叢書名稱 | Statistics for Social and Behavioral Sciences | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | Multivariate analysis; g-inverse matrices; linear transformations; projections; singular value decomposi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-9887-3 | | isbn_softcover | 978-1-4614-2859-6 | | isbn_ebook | 978-1-4419-9887-3Series ISSN 2199-7357 Series E-ISSN 2199-7365 | | issn_series | 2199-7357 | | copyright | Springer Science+Business Media, LLC 2011 |
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書目名稱Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition被引頻次
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