9781461428596 - projection matrices, generalized inverse matrices, and singular value decomposition di yanai, haruo; takeuchi, kei; takane, yoshio (10 risultati)

Lingua: Inglese
Editore: Springer, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 di 40. Libro 22 di 40 - Statistics for Social and Behavioral Sciences
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Lingua: Inglese
Editore: Springer, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 di 40. Libro 22 di 40 - Statistics for Social and Behavioral Sciences
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Lingua: Inglese
Editore: Springer, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 di 40. Libro 22 di 40 - Statistics for Social and Behavioral Sciences
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Lingua: Inglese
Editore: Springer New York, Springer US, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 di 40. Libro 22 di 40 - Statistics for Social and Behavioral Sciences
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: 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 regress…ion 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.
Altre immaginiLingua: Inglese
Editore: Springer, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 di 40. Libro 22 di 40 - Statistics for Social and Behavioral Sciences
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: 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.

Lingua: Inglese
Editore: Springer, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 di 40. Libro 22 di 40 - Statistics for Social and Behavioral Sciences
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer, Springer Mai 2013, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 di 40. Libro 22 di 40 - Statistics for Social and Behavioral Sciences
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: 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 estim…ation 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.

Lingua: Inglese
Editore: Springer New York, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 di 40. Libro 22 di 40 - Statistics for Social and Behavioral Sciences
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Da: moluna, Greven, Germaniamoluna
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Condizione: 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-standi…ng experience in teaching g.

Lingua: Inglese
Editore: Springer-Verlag New York Inc., 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 di 40. Libro 22 di 40 - Statistics for Social and Behavioral Sciences
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Lingua: Inglese
Editore: Springer, Springer Mai 2013, 2013
Serie: Statistics for Social and Behavioral Sciences, Libro 22 di 40. Libro 22 di 40 - Statistics for Social and Behavioral Sciences
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: 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 estimatio…n 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.