Applied Regression Analysis: A Second Course in Business and Economic Statistics (Book, CD-ROM & InfoTrac)

Dielman, Terry

ISBN 10: 053446548X / ISBN 13: 9780534465483

Published by Brooks/Cole, 2004

About this Item

Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.

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Bibliographic Details

• Title: Applied Regression Analysis: A Second Course in Business and Economic Statistics (Book, CD-ROM & InfoTrac)
• Publisher: Brooks/Cole
• Publication Date: 2004
• Language: English
• ISBN 10: 053446548X
• ISBN 13: 9780534465483
• Binding: Hardcover
• Edition: 4th Edition
• Condition: very_good

About this title

Synopsis

APPLIED REGRESSION ANALYSIS applies regression to real data and examples while employing commercial statistical and spreadsheet software. Covering the core regression topics as well as optional topics including ANOVA, Time Series Forecasting, and Discriminant Analysis, the text emphasizes the importance of understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets.

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.