Librería: Feldman's Books, Menlo Park, CA, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Very Fine. 1st Edition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 115,52
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Librería: bmyguest books, Toronto, ON, Canada
EUR 107,52
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Añadir al carritoHardcover. Condición: Fine. Clean No Remarks Or Highlights Inside. In Very Good Condition. 234 Pages With The Index. Hardcover.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 111,09
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 111,08
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 137,61
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Añadir al carritoCondición: New. pp. 248.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 150,79
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Añadir al carritoHardcover. Condición: Brand New. 234 pages. 10.00x6.50x1.00 inches. In Stock.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 112,94
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Añadir al carritoBuch. 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 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 176,69
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Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 167,28
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por SPRINGER NATURE Apr 2011, 2011
ISBN 10: 1441998861 ISBN 13: 9781441998866
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 106,99
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. 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 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. 236 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 93,00
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Añadir al carritoGebunden. 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-standing experience in teaching g.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 138,80
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 248 13 Illus.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 142,80
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 248.