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Linear Algebra and Matrix Analysis for Statistics (Chapman & Hall/CRC Texts in Statistical Science) - Hardcover
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Linear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book is as self-contained as possible, assuming no prior knowledge of linear algebra.
The authors first address the rudimentary mechanics of linear systems using Gaussian elimination and the resulting decompositions. They introduce Euclidean vector spaces using less abstract concepts and make connections to systems of linear equations wherever possible. After illustrating the importance of the rank of a matrix, they discuss complementary subspaces, oblique projectors, orthogonality, orthogonal projections and projectors, and orthogonal reduction.
The text then shows how the theoretical concepts developed are handy in analyzing solutions for linear systems. The authors also explain how determinants are useful for characterizing and deriving properties concerning matrices and linear systems. They then cover eigenvalues, eigenvectors, singular value decomposition, Jordan decomposition (including a proof), quadratic forms, and Kronecker and Hadamard products. The book concludes with accessible treatments of advanced topics, such as linear iterative systems, convergence of matrices, more general vector spaces, linear transformations, and Hilbert spaces.
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Sudipto Banerjee, Anindya Roy
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Linear Algebra and Matrix Analysis for Statistics (Chapman & Hall/CRC Texts in Statistical Science)
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hardcover. Zustand: Befriedigend. 580 Seiten; 9781420095388.4 Gewicht in Gramm: 2. Bestandsnummer des Verkäufers 916493
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Linear Algebra and Matrix Analysis for Statistics (Chapman & Hall/CRC Texts in Statistical Science)
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Chapman & Hall (edition 1), 2014
ISBN 10: 1420095382
ISBN 13: 9781420095388
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Linear Algebra and Matrix Analysis for Statistics (Chapman & Hall/CRC Texts in Statistical Science)
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Chapman and Hall/CRC 2014-06-03, 2014
ISBN 10: 1420095382
ISBN 13: 9781420095388
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Banerjee, S: Linear Algebra and Matrix Analysis for Statisti
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Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sudipto Banerjee, Anindya RoyLinear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical f. Bestandsnummer des Verkäufers 595755287
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Linear Algebra and Matrix Analysis for Statistics
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Linear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book is as self-contained as possible, assuming no prior knowledge of linear algebra.The authors first address the rudimentary mechanics of linear systems using Gaussian elimination and the resulting decompositions. They introduce Euclidean vector spaces using less abstract concepts and make connections to systems of linear equations wherever possible. After illustrating the importance of the rank of a matrix, they discuss complementary subspaces, oblique projectors, orthogonality, orthogonal projections and projectors, and orthogonal reduction.The text then shows how the theoretical concepts developed are handy in analyzing solutions for linear systems. The authors also explain how determinants are useful for characterizing and deriving properties concerning matrices and linear systems. They then cover eigenvalues, eigenvectors, singular value decomposition, Jordan decomposition (including a proof), quadratic forms, and Kronecker and Hadamard products. The book concludes with accessible treatments of advanced topics, such as linear iterative systems, convergence of matrices, more general vector spaces, linear transformations, and Hilbert spaces. 582 pp. Englisch. Bestandsnummer des Verkäufers 9781420095388
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Linear Algebra and Matrix Analysis for Statistics
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Linear Algebra and Matrix Analysis for Statistics
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Linear Algebra and Matrix Analysis for Statistics
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Linear Algebra and Matrix Analysis for Statistics
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Linear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book is as self-contained as possible, assuming no prior knowledge of linear algebra.The authors first address the rudimentary mechanics of linear systems using Gaussian elimination and the resulting decompositions. They introduce Euclidean vector spaces using less abstract concepts and make connections to systems of linear equations wherever possible. After illustrating the importance of the rank of a matrix, they discuss complementary subspaces, oblique projectors, orthogonality, orthogonal projections and projectors, and orthogonal reduction.The text then shows how the theoretical concepts developed are handy in analyzing solutions for linear systems. The authors also explain how determinants are useful for characterizing and deriving properties concerning matrices and linear systems. They then cover eigenvalues, eigenvectors, singular value decomposition, Jordan decomposition (including a proof), quadratic forms, and Kronecker and Hadamard products. The book concludes with accessible treatments of advanced topics, such as linear iterative systems, convergence of matrices, more general vector spaces, linear transformations, and Hilbert spaces. Bestandsnummer des Verkäufers 9781420095388
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Linear Algebra and Matrix Computations for Statistics
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Zustand: New. pp. 580 12 Illus. This item is printed on demand. Bestandsnummer des Verkäufers 6751335
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