Articles liés à Matrix Algebra: Theory, Computations and Applications...
Synopsis
Comprehensive coverage of matrix algebra for data science and statistical theory
Over 100 pages of additional material and 30 extra exercises in the new edition Even clearer text and more comprehensive coverageLes informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
James E. Gentle is University Professor Emeritus at George Mason University. He is a Fellow of the American Statistical Association (ASA) and of the American Association for the Advancement of Science. He has held several national offices in the ASA and has served as associate editor of journals of the ASA, as well as for other journals in statistics and computing. He is author of Random Number Generation and Monte Carlo Methods, Computational Statistics, and Statistical Analysis of Financial Data. He is co-editor-in-chief of Wiley Interdisciplinary Reviews: Computational Statistics.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Matrix Algebra: Theory, Computations and Applications in Statistics (Springer Texts in Statistics)
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Matrix Algebra: Theory, Computations and Applications in Statistics (Springer Texts in Statistics)
Edité par
Springer, 2024
ISBN 10 : 3031421434
ISBN 13 : 9783031421433
Ancien ou d'occasion
Couverture rigide
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
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hardcover. Etat : Fine. N° de réf. du vendeur mon0003788312
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Matrix Algebra: Theory, Computations and Applications in Statistics (Springer Texts in Statistics)
Edité par
Springer, 2024
ISBN 10 : 3031421434
ISBN 13 : 9783031421433
Ancien ou d'occasion
Couverture rigide
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
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hardcover. Etat : Good. N° de réf. du vendeur mon0004107276
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Matrix Algebra (eng)
impression à la demandeVendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur CUC9KCA1ES
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Matrix Algebra: Theory, Computations and Applications in Statistics (Springer Texts in Statistics)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Matrix Algebra: Theory, Computations and Applications in Statistics (Springer Texts in Statistics)
Vendeur : Books Puddle, Woodside, NY, Etats-Unis
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Etat : New. 3rd ed. 2024 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26399309148
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Matrix Algebra (Hardcover)
Edité par
Springer International Publishing AG, Cham, 2024
ISBN 10 : 3031421434
ISBN 13 : 9783031421433
Neuf
Couverture rigide
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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Hardcover. Etat : new. Hardcover. This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and previous editions had essential updates and comprehensive coverage on critical topics in mathematics.This 3rd edition offers a self-contained description of relevant aspects of matrix algebra for applications in statistics. It begins with fundamental concepts of vectors and vector spaces; covers basic algebraic properties of matrices and analytic properties of vectors and matrices in multivariate calculus; and concludes with a discussion on operations on matrices, in solutions of linear systems and in eigenanalysis. It also includes discussions of the R software package, with numerous examples and exercises.Matrix Algebra considers various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes special properties of those matrices; as well as describing various applications of matrix theory in statistics, including linear models, multivariate analysis, and stochastic processes. It begins with a discussion of the basics of numerical computations and goes on to describe accurate and efficient algorithms for factoring matrices, how to solve linear systems of equations, and the extraction of eigenvalues and eigenvectors. It covers numerical linear algebraone of the most important subjects in the field of statistical computing. The content includes greater emphases on R, and extensive coverage of statistical linear models. Matrix Algebra is ideal for graduate and advanced undergraduate students, or as a supplementary text for courses in linear models or multivariate statistics. Its also ideal for use in a course in statistical computing, or as a supplementary text forvarious courses that emphasize computations. This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031421433
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Matrix Algebra: Theory, Computations and Applications in Statistics (Springer Texts in Statistics) [Hardcover] [Mar 07, 2024] Gentle, James E.
Vendeur : StainesBookhub, Weybridge, SURRE, Royaume-Uni
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Etat : New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage. N° de réf. du vendeur SPRINGERNEW12185
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EUR 91,65
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Matrix Algebra
Edité par
Springer, Berlin, Springer, 2024
ISBN 10 : 3031421434
ISBN 13 : 9783031421433
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and previous editions had essential updates and comprehensive coverage on critical topics in mathematics.This 3rd edition offers a self-contained description of relevant aspects of matrix algebra for applications in statistics. It begins with fundamental concepts of vectors and vector spaces; covers basic algebraic properties of matrices and analytic properties of vectors and matrices in multivariate calculus; and concludes with a discussion on operations on matrices, in solutions of linear systems and in eigenanalysis. It also includes discussions of the R software package, with numerous examples and exercises.Matrix Algebra considers various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes special properties of those matrices; as well as describing various applications of matrix theory in statistics, including linear models, multivariate analysis, and stochastic processes. It begins with a discussion of the basics of numerical computations and goes on to describe accurate and efficient algorithms for factoring matrices, how to solve linear systems of equations, and the extraction of eigenvalues and eigenvectors. It covers numerical linear algebra-one of the most important subjects in the field of statistical computing. The content includes greater emphases on R, and extensive coverage of statistical linear models. Matrix Algebra is ideal for graduate and advanced undergraduate students, or as a supplementary text for courses in linear models or multivariate statistics. It's also ideal for use in a course in statistical computing, or as a supplementary text forvarious courses that emphasize computations. 693 pp. Englisch. N° de réf. du vendeur 9783031421433
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Matrix Algebra
Edité par
Springer International Publishing, 2024
ISBN 10 : 3031421434
ISBN 13 : 9783031421433
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes comprehensive coverage of matrix algebra for data science and statistical theory Explains in clearer text and has comprehensive coverageHighlights R, and extensive coverage of statistical linear modelsJames E. Gentle is . N° de réf. du vendeur 945398575
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