9781461428596 - projection matrices, generalized inverse matrices, and singular value decomposition (statistics for social and behavioral sciences) von yanai, haruo; takeuchi, kei; takane, yoshio (8 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2013
Serie: Buch 22 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Sprache: Englisch
Verlag: Springer New York, Springer US, 2013
Serie: Buch 22 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, and other fields.
Weitere BilderSprache: Englisch
Verlag: Springer, 2013
Serie: Buch 22 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Taschenbuch. Zustand: Neu. Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition | Haruo Yanai (u. a.) | Taschenbuch | Statistics for Social and Behavioral Sciences | xii | Englisch | 2013 | Springer | EAN 9781461428596 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69…121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, 2013
Serie: Buch 22 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Sprache: Englisch
Verlag: Springer, Springer Mai 2013, 2013
Serie: Buch 22 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 estimati…on 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, and other fields. 248 pp. Englisch.
Sprache: Englisch
Verlag: Springer New York, 2013
Serie: Buch 22 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
- Print-on-Demand
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book will serve as a useful reference on projectors, generalized inverses, and SVDMany of the concepts discussed in the book have been developed only recentlyAll three authors of the present book have long-standing…experience in teaching g.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc., 2013
Serie: Buch 22 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Sprache: Englisch
Verlag: Springer, Springer Mai 2013, 2013
Serie: Buch 22 von 40 - Statistics for Social and Behavioral Sciences
- Softcover
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 i…n 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, and other fields.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 248 pp. Englisch.
