"Suitable for a graduate level course on matrix for statisticsstudents. The book is written in an applied style and students willlike it." (Journal of Statistical Computation andSimulation, March 2006)

"...well suited to its purpose...content is beautifully laidout..." (Mathematics Today, June 2004)

"...designed for students of economics and for practicingeconomists..." (Quarterly of Applied Mathematics, Vol. LX,No. 1, March 2002)

"Textbook suitable for a one-semester course introduces matrixalgebra and its application to economic problems." (Journal ofEconomic Literature, Vol. 40, No. 1, March 2002)

"A textbook...explaining to students of economics how matrixalgebra is used in the profession...No prior mathematics is assumedbeyond high school algebra..." (Reference & Research BookNews, May 2002)

"...practising economists who want to gain more mathematicalskills will also find the book at the right level..."(Zentralblatt Math, Vol. 982, No. 07, 2002)

"...an excellent introductory text..." (Journal of theAmerican Statistical Association, December 1, 2002)

Coverage of matrix algebra for economists and students ofeconomics Matrix Algebra for Applied Economics explains the important tool ofmatrix algebra for students of economics and practicing economists.It includes examples that demonstrate the foundation operations ofmatrix algebra and illustrations of using the algebra for a varietyof economic problems. The authors present the scope and basic definitions of matrices,their arithmetic and simple operations, and describe specialmatrices and their properties, including the analog of division.They provide in-depth coverage of necessary theory and deal withconcepts 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 simplifiedusing matrix algebra in linear equations, regression, linearmodels, 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 guidancefor advanced undergraduate students and also graduate students.Practicing economists who want to sharpen their skills will findthis book both practical and easy-to-read, no matter what theirapplied interests.
Les mer
This volume describes the algebra of matrices and shows how to apply them to today's problems in applied economics. The first section covers the essentials of matrices while the second section concentrates on major topics in applied economics such as regression, linear programming, and time series.
Les mer
List of Chapters. Preface. BASICS. Introduction. Basic Matrix Operations. Special Matrices. Determinants. Inverse Matrices. NECESSARY THEORY. Linearly (IN)Dependent Vectors. Rank. Canonical Forms. Generalized Inverses. Solving Linear Equations. Eigenroots and Eigenvectors. Miscellanea. WORKING WITH MATRICES. Applying Linear Equations. Regression Analysis. Linear Statistical Models. Linear Programming. Markov Chain Models. References. Index.
Les mer
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 applicationsChallenging exercises throughout the bookMathematics understandable to readers of all backgroundsExtensive 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.
Les mer

Produktdetaljer

ISBN
9780471322078
Publisert
2001-09-14
Utgiver
Vendor
Wiley-Interscience
Vekt
714 gr
Høyde
246 mm
Bredde
162 mm
Dybde
25 mm
Aldersnivå
G, UU, P, 01, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
432

Biographical note

SHAYLE R. SEARLE, PhD, is Professor Emeritus of Biometry at CornellUniversity. He is the author of Linear Models, Linear Models forUnbalanced Data, Matrix Algebra Useful for Statistics, and also(with C. E. McCulloch) Generalized, Linear, and Mixed Models, allfrom Wiley.

LOIS SCHERTZ WILLETT, PhD, is Professor of Food and ResourceEconomics at the University of Florida. She is the author ofnumerous scientific publications on economic markets and priceanalysis and has won several teaching awards for her instruction ineconomics, econometrics, and other quantitative analysis courses.