9781461428596 - projection matrices, generalized inverse matrices, and singular value decomposition (statistics for social and behavioral sciences) de yanai, haruo; takeuchi, kei; takane, yoshio (10 resultados)
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Editorial: Springer, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 de 40. Libro 22 de 40 - Statistics for Social and Behavioral Sciences
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Editorial: Springer, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 de 40. Libro 22 de 40 - Statistics for Social and Behavioral Sciences
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: 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 regressi…on 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.
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Editorial: Springer, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 de 40. Libro 22 de 40 - Statistics for Social and Behavioral Sciences
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: 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,…69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 de 40. Libro 22 de 40 - Statistics for Social and Behavioral Sciences
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Condición: new. Questo è un articolo print on demand.
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Editorial: Springer, Springer Mai 2013, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 de 40. Libro 22 de 40 - Statistics for Social and Behavioral Sciences
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: 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 estima…tion 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.
Idioma: Inglés
Editorial: Springer New York, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 de 40. Libro 22 de 40 - Statistics for Social and Behavioral Sciences
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Librería: moluna, Greven, Alemaniamoluna
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Condición: 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-standin…g experience in teaching g.
Idioma: Inglés
Editorial: Springer-Verlag New York Inc., 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 de 40. Libro 22 de 40 - Statistics for Social and Behavioral Sciences
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Editorial: Springer, Springer Mai 2013, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 de 40. Libro 22 de 40 - Statistics for Social and Behavioral Sciences
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: 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… 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 248 pp. Englisch.
