Thoroughly updated and more straightforward than ever, Applied Linear Regression Models includes the latest statistics, developments, and methods in multicategory logistic regression; expanded treatment of diagnostics for logistic regression; a more powerful Levene test; and more. Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.
About the Author
Michael H. Kutner is a professor at Emory University in Atlanta.
Chris J. Nachtsheim is a professor at the University of Minnesota–Minneapolis.
John Neter is a professor at the University of Georgia in Athens.
I would like to point out that these authors have two books with similar titles. One is Applied Linear Regression Models which is in the 4th edition. The other is Applied Linear Statistical Models which is in the 5th edition. The statistical models book covers more than linear regression.
Among books on this topic, this one is pretty good. For those that may not have obtained the material sequentially, the appendix is recommended. I can see some giving it lower marks, as it does not fully treat the topic in terms of matrices. I however, prefer that. There is a one chapter that does go through the matrix math as a review.
I do wish there was a companion answer key for all of the problems in the book. Also, at times, a few of the problems are a bit contrived in the sense that the answer was so odd that you couldn’t tell if it was the answer you were suppose to get or if you’d run the regression incorrectly.
Product Details :
- Hardcover: 701 pages
- Publisher: McGraw-Hill/Irwin; 4 edition (January 8, 2004)
- Language: English
- ISBN-10: 0073014664
- ISBN-13: 978-0073014661
- Product Dimensions: 9.4 x 7.6 x 1.2 inches