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.
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.