Matrix Algebra for Applied Economics by Shayle R. Searle
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Matrix Algebra for Applied Economics
By Shayle R. Searle

Matrix Algebra for Applied Economics

By (author) See other recent books by Shayle R. Searle See other recent books by Lois Schertz Willett
Format: Hardback

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Matrix Algebra for Applied Economics by Shayle R. Searle

Book Description

Coverage of matrix algebra for economists and students of economics Matrix Algebra for Applied Economics explains the important tool of matrix algebra for students of economics and practicing economists. It includes examples that demonstrate the foundation operations of matrix algebra and illustrations of using the algebra for a variety of economic problems. The authors present the scope and basic definitions of matrices, their arithmetic and simple operations, and describe special matrices and their properties, including the analog of division. They provide in-depth coverage of necessary theory and deal with concepts and operations for using matrices in real-life situations. They discuss linear dependence and independence, as well as rank, canonical forms, generalized inverses, eigenroots, and vectors. Topics of prime interest to economists are shown to be simplified using matrix algebra in linear equations, regression, linear models, linear programming, and Markov chains. Highlights include: Numerous examples of real-world applications Challenging exercises throughout the book Mathematics understandable to readers of all backgrounds Extensive up-to-date reference material Matrix Algebra for Applied Economics provides excellent guidance for advanced undergraduate students and also graduate students. Practicing economists who want to sharpen their skills will find this book both practical and easy-to-read, no matter what their applied interests.

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Book Details

ISBN: 9780471322078
ISBN-10: 0471322075
Format: Hardback
(238mm x 164mm x 32mm)
Pages: 432
Imprint: John Wiley & Sons Inc
Publisher: John Wiley and Sons Ltd
Publish Date: 14-Sep-2001
Country of Publication: United States

Books By Author Shayle R. Searle

Linear Models by Shayle R. Searle Linear Models, Hardback (November 2016)

Provides an easy-to-understand guide to statistical linear models and its uses in data analysis This book defines a broad spectrum of statistical linear models that is useful in the analysis of data. Considerable rewriting was done to make the book more reader friendly than the first edition.

Generalized, Linear, and Mixed Models by Shayle R. Searle Generalized, Linear, and Mixed Models, Hardback (July 2008)

- This new edition presents a unified, accessible, and self-contained treatment of the latest statistical methods for analyzing correlated, non-normally distributed data. - The book's unified treatment addresses the needs of applications-oriented users of statistical packages and also graduate students in statistics.

» View all books by Shayle R. Searle

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Author Biography - Shayle R. Searle

SHAYLE R. SEARLE, PhD, is Professor Emeritus of Biometry at Cornell University. He is the author of Linear Models, Linear Models for Unbalanced Data, Matrix Algebra Useful for Statistics, and also (with C. E. McCulloch) Generalized, Linear, and Mixed Models, all from Wiley. LOIS SCHERTZ WILLETT, PhD, is Professor of Food and Resource Economics at the University of Florida. She is the author of numerous scientific publications on economic markets and price analysis and has won several teaching awards for her instruction in economics, econometrics, and other quantitative analysis courses.

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