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Matrix algebratheory, computations a...

Gentle, James E.

Matrix algebratheory, computations and applications in statistics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Matrix algebraby James E. Gentle.
Reminder of title:	theory, computations and applications in statistics /
Author:	Gentle, James E.
Published:	Cham :Springer International Publishing :2017.
Description:	xxix, 648 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Matrices.
Online resource:	http://dx.doi.org/10.1007/978-3-319-64867-5
ISBN:	9783319648675$q(electronic bk.)

Matrix algebratheory, computations and applications in statistics /
Gentle, James E.

Matrix algebratheory, computations and applications in statistics /[electronic resource] :by James E. Gentle. - 2nd ed. - Cham :Springer International Publishing :2017. - xxix, 648 p. :ill., digital ;24 cm. - Springer texts in statistics,1431-875X. - Springer texts in statistics..

Part I Linear Algebra -- 1 Basic Vector/Matrix Structure and Notation -- 2 Vectors and Vector Spaces -- 3 Basic Properties of Matrices -- 4 Vector/Matrix Derivatives and Integrals -- 5 Matrix Transformations and Factorizations -- 6 Solution of Linear Systems -- 7 Evaluation of Eigenvalues and Eigenvectors -- Part II Applications in Data Analysis -- 8 Special Matrices and Operations Useful in Modeling andData Analysis -- 9 Selected Applications in Statistics -- Part III Numerical Methods and Software -- 10 Numerical Methods -- 11 Numerical Linear Algebra -- 12 Software for Numerical Linear Algebra -- Appendices and Back Matter -- Bibliography -- Index.

ISBN: 9783319648675$q(electronic bk.)

Standard No.: 10.1007/978-3-319-64867-5doiSubjects--Topical Terms:

181876
Matrices.

LC Class. No.: QA188

Dewey Class. No.: 512.9434

Matrix algebratheory, computations and applications in statistics /
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245 1 0 $a Matrix algebra $h [electronic resource] : $b theory, computations and applications in statistics / $c by James E. Gentle.
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260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
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490 1 $a Springer texts in statistics, $x 1431-875X
505 0 $a Part I Linear Algebra -- 1 Basic Vector/Matrix Structure and Notation -- 2 Vectors and Vector Spaces -- 3 Basic Properties of Matrices -- 4 Vector/Matrix Derivatives and Integrals -- 5 Matrix Transformations and Factorizations -- 6 Solution of Linear Systems -- 7 Evaluation of Eigenvalues and Eigenvectors -- Part II Applications in Data Analysis -- 8 Special Matrices and Operations Useful in Modeling andData Analysis -- 9 Selected Applications in Statistics -- Part III Numerical Methods and Software -- 10 Numerical Methods -- 11 Numerical Linear Algebra -- 12 Software for Numerical Linear Algebra -- Appendices and Back Matter -- Bibliography -- Index.
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