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Applied Regression Analysis for Business and Economics, by Terry E. Dielman
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Intended for the regression analysis course for students of business and economics or as a second course in business statistics; found in schools of business or in departments of statistics and economics.
- Sales Rank: #3339140 in Books
- Brand: Brand: Duxbury Pr
- Published on: 2000-01-15
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 7.75" w x 1.00" l,
- Binding: Hardcover
- 575 pages
- Used Book in Good Condition
About the Author
Terry Dielman is professor of Decision Sciences at Texas Christian University. Terry received his Ph.D. at the University of Michigan (Business Statistics), his M.S. at the University of Cincinnati (Mathematics) and his B.A. at Emporia State University (Mathematics). His recent research focuses on Regression Analysis, Time Series Forecasting, Robust Statistical Procedures and the Analysis of Pooled Cross-Sectional and Time Series Data. His recent publications include ¿Bootstrap versus Traditional Hypothesis Testing Procedures for Coefficients in Least Absolute Value Regression¿ in the JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. He participates in the Editorial Board of the Journal of Business and Management, and consults for Forecasting Seminars and for various law firms.
Most helpful customer reviews
5 of 6 people found the following review helpful.
The best book ever
By ALBERTO BUSTAMANTE VAZQUEZ
This book takes you along the process of learning regression analysis easily. The author takes the time to show you how to solve real problems, the disc that comes with the book allows to even go deeper on the subject of study. The one who buys this book will never sell it, you'll need it all your professional life.
0 of 0 people found the following review helpful.
Good for Excel and Minitab User
By Prophet
I checked Dr. Dielman's Applied Regression textbook out from Tsing-Hua Univ (Taiwan) Library for preparing my MBA thesis regarding the interaction effects. Given the widespread use of the SPSS or SAS, there are fewer texts writen in other commercially available packages. This book provided an alternative option for conducting the regression work.
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