**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 algebra’s 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 decomposition
- Solutions to matrix optimization problems for obtaining more efficient biased estimators for parameters in linear regression models
- A section on the generalized singular value decomposition
- Multiple 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.

*"synopsis" may belong to another edition of this title.*

**Marvin H. J. Gruber, PHD,** is Professor Emeritus in the School of Mathematical Sciences at Rochester Institute of Technology. He has authored several books and journal articles in his areas of research interest, which include improving the efficiency of regression estimators. Dr. Gruber is a member of the American Mathematical Society and the American Statistical Association.

“This book seems suitable for an advanced undergraduate and/or introductory master's level course . . . Four appealing features of this book are its inclusion of an overview, a summary, exercises (with answers provided), and numerical examples for all sections.” (*American Mathematical Society*, 1 November 2015)

“The book is suitable for graduate and postgraduate students and researchers. This book is highly recommended.” (*Zentralblatt*, 1 April 2015)

“This is an excellent and comprehensive presentation of the use of matrices for linear models. The writing is very clear, and the layout is excellent. It would serve well either as a class text or as the foundation for individual personal study.” (*International Statistical Review*, 18 March 2014)

*"About this title" may belong to another edition of this title.*

ISBN 10: 1118592557
ISBN 13: 9781118592557

New
Quantity Available: 5

Seller:

Rating

**Book Description **Book Condition: New. Bookseller Inventory # 19066534-n

More Information About This Seller | Ask Bookseller a Question

Published by
John Wiley and Sons

ISBN 10: 1118592557
ISBN 13: 9781118592557

New
Quantity Available: > 20

Seller:

Rating

**Book Description **John Wiley and Sons. Book Condition: New. Brand New. Bookseller Inventory # 1118592557

More Information About This Seller | Ask Bookseller a Question

Published by
John Wiley Sons Inc, United States
(2013)

ISBN 10: 1118592557
ISBN 13: 9781118592557

New
Hardcover
Quantity Available: 10

Seller:

Rating

**Book Description **John Wiley Sons Inc, United States, 2013. Hardback. Book Condition: New. Language: English . Brand New Book. 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 algebra s 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 decomposition * Solutions to matrix optimization problems for obtaining more efficient biased estimators for parameters in linear regression models * A section on the generalized singular value decomposition * Multiple 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. Bookseller Inventory # AAH9781118592557

More Information About This Seller | Ask Bookseller a Question

Published by
Wileyand#8211;Blackwell
(2014)

ISBN 10: 1118592557
ISBN 13: 9781118592557

New
Quantity Available: 11

Seller:

Rating

**Book Description **Wileyand#8211;Blackwell, 2014. HRD. Book Condition: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Bookseller Inventory # FW-9781118592557

More Information About This Seller | Ask Bookseller a Question

Published by
John Wiley Sons Inc, United States
(2013)

ISBN 10: 1118592557
ISBN 13: 9781118592557

New
Hardcover
Quantity Available: 10

Seller:

Rating

**Book Description **John Wiley Sons Inc, United States, 2013. Hardback. Book Condition: New. Language: English . Brand New Book. 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 algebra s 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 decomposition * Solutions to matrix optimization problems for obtaining more efficient biased estimators for parameters in linear regression models * A section on the generalized singular value decomposition * Multiple 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. Bookseller Inventory # AAH9781118592557

More Information About This Seller | Ask Bookseller a Question

Published by
Wiley 2013-12-31, Hoboken
(2013)

ISBN 10: 1118592557
ISBN 13: 9781118592557

New
Hardcover
Quantity Available: 5

Seller:

Rating

**Book Description **Wiley 2013-12-31, Hoboken, 2013. hardback. Book Condition: New. Bookseller Inventory # 9781118592557

More Information About This Seller | Ask Bookseller a Question

Published by
Wiley-Blackwell

ISBN 10: 1118592557
ISBN 13: 9781118592557

New
Hardcover
Quantity Available: 12

Seller:

Rating

**Book Description **Wiley-Blackwell. Hardcover. Book Condition: New. New copy - Usually dispatched within 2 working days. Bookseller Inventory # B9781118592557

More Information About This Seller | Ask Bookseller a Question

Published by
John Wiley Sons Inc, United States
(2013)

ISBN 10: 1118592557
ISBN 13: 9781118592557

New
Hardcover
Quantity Available: 10

Seller:

Rating

**Book Description **John Wiley Sons Inc, United States, 2013. Hardback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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 algebra s 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 decomposition * Solutions to matrix optimization problems for obtaining more efficient biased estimators for parameters in linear regression models * A section on the generalized singular value decomposition * Multiple 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. Bookseller Inventory # BZV9781118592557

More Information About This Seller | Ask Bookseller a Question

Published by
Wiley
(2013)

ISBN 10: 1118592557
ISBN 13: 9781118592557

New
Hardcover
Quantity Available: 2

Seller:

Rating

**Book Description **Wiley, 2013. Hardcover. Book Condition: New. Never used!. Bookseller Inventory # P111118592557

More Information About This Seller | Ask Bookseller a Question

Published by
Wiley
(2013)

ISBN 10: 1118592557
ISBN 13: 9781118592557

New
Hardcover
First Edition
Quantity Available: 1

Seller:

Rating

**Book Description **Wiley, 2013. Hardcover. Book Condition: New. book. Bookseller Inventory # M1118592557

More Information About This Seller | Ask Bookseller a Question