Isbn: 9781118592557 - matrix algebra for linear models (19 risultati)

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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Condizione: As New. Unread book in perfect condition.

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Condizione: New. A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. Num Pages: 392 pages, black & white illustrations, figures. BIC Classification: PBF. Category: (P) Professional & Vocational. Dimension: 236 x 163 x 26. Weight in Grams: 646. . 2014. 1st Edition. Hardcover. . . . . …

Condizione: New. pp. 392.

Condizione: New. In English.

Condizione: New. pp. 392 Index.

Condizione: New. A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. Num Pages: 392 pages, black & white illustrations, figures. BIC Classification: PBF. Category: (P) Professional & Vocational. Dimension: 236 x 163 x 26. Weight in Grams: 646. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Condizione: New. A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especiall.

Hardcover. Condizione: Brand New. 1st edition. 392 pages. 9.75x6.50x1.25 inches. In Stock.

Buch. Condizione: Neu. Neuware - A self-contained introduction to matrix analysis theory and applications in the field of statistics.

Hardcover. Condizione: Brand New. 1st edition. 392 pages. 9.75x6.50x1.25 inches. In Stock. This item is printed on demand.

Hardcover. Condizione: new. Hardcover. A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book provides a unified presentation of the mathematical properties and statistical applications of matrices in order to define and manipulate data. Written for theoretical and applied statisticians, the book utilizes multiple numerical examples to illustrate key ideas, methods, and techniques crucial to understanding matrix algebras application in linear models. Matrix Algebra for Linear Models expertly balances concepts and methods allowing for a side-by-side presentation of matrix theory and its linear model applications. Including concise summaries on each topic, the book also features: Methods of deriving results from the properties of eigenvalues and the singular value decompositionSolutions to matrix optimization problems for obtaining more efficient biased estimators for parameters in linear regression modelsA section on the generalized singular value decompositionMultiple chapter exercises with selected answers to enhance understanding of the presented material Matrix Algebra for Linear Models is an ideal textbook for advanced undergraduate and graduate-level courses on statistics, matrices, and linear algebra. The book is also an excellent reference for statisticians, engineers, economists, and readers interested in the linear statistical model. A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. PRINT ON DEMAND pp. 392 Acknowledgements.