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Applied Regression Analysis and Other Multivariable Methods, by David G. Kleinbaum, Lawrence L. Kupper, Keith E. Muller, Azhar Nizam
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Regression students will appreciate this best-seller's modern, practical approach and its use of real-life problems. The third edition offers a significant shift in emphasis from calculation to interpretation, by replacing computational formulas with computer printouts in SAS. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that can be solved with the computer. Appropriate for statistics, biostatistics, mathematics, psychology, sociology, business, and industrial engineering students or anyone who intends to use regression analysis in their work, this text offers a traditional structure with a modern flavor. The authors emphasize model development; the intuitive logic and assumptions that underlie the techniques covered as well as the purposes, advantages and disadvantages, and valid interpretations of those techniques.
- Sales Rank: #793336 in Books
- Brand: Brand: Duxbury Press
- Published on: 1997-09-15
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 7.75" w x 1.50" l,
- Binding: Hardcover
- 798 pages
- Used Book in Good Condition
Review
"The authors' writing style is right on the mark--not too many words pass before a good numerical example appears."
"The integration of the software output is well done. Good, motivating, real-life examples and problem sets....Chapter 16 does an excellent job of laying out the problem of selecting the 'best' regression model in a step-by-step manner and brings in variable selection procedures."
"The solution manual to the book is a tremendous 'gift' as it saves a great deal of time for many busy professors."
Most helpful customer reviews
0 of 0 people found the following review helpful.
Four Stars
By EH
Found it online for very cheap. Definitely worth getting if you are taking regression and doing research.
0 of 0 people found the following review helpful.
good
By Agasha K. Katabarwa
I got a good book, although it was written in, but that was okay because it was cheaper than all the other sellers.
7 of 10 people found the following review helpful.
Very confusing
By Peachbulb
I am lucky that I had such a great professor for my statistics class. Unfortunately, although he's great at teaching the material in class, he doesn't have great acumen in choosing textbooks. This book honestly made me way more confused than I otherwise would have been and is one of the worst textbooks I've ever had. First, the layout jams a lot of formulas without giving you enough specifics on how and when to apply them. Second, the authors have a talent for making straight forward stuff confusing.
Case in point is the section on assumptions about error distributions that need to be satisfied in order to do most regression analysis. Among those assumptions are equal variance and normality. These are not hard to represent in a diagram. Yet the diagram the authors provide shows an example of a case in which some, but not all, of the assumptions are violated. Furthermore, it doesn't say in the caption which ones are violated and which ones are not. In fact, it doesn't even mention in the caption that there are some violations. There's a short line in the text that tells you that. It would have been much clearer to present either a picture of a case in which all assumptions are violated, or one in which no assumptions are violated. And it would have been tremendously helpful to make that clear in the caption. As a caveat, I should mention that I used the second edition instead of the third, so this particular diagram may have been changed. But my classmates who used the third edition despised it as much as I did, so I suspect that many of my comments still apply.
I ended up finding a similar book in the library by Terry Dielman and using that instead. That book covered basically the same material but was far better organized and practical.
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