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Regression and Linear Models, by Richard B. Darlington
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A text on linear-models with frequent references to the Systat/Mystat pair of statistical packages for microcomputers. Aimed at students or researchers in the social, behavioural, biological and health sciences or business studies, it requires minimal use of matrix algebra.
- Sales Rank: #2396085 in Books
- Published on: 1990-01-01
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 7.00" w x 1.00" l,
- Binding: Hardcover
- 480 pages
Most helpful customer reviews
2 of 2 people found the following review helpful.
Comprehensive, as clear as stats can be
By Derek Grimmell
I disagree with the other reviewer. This is the text I chose when teaching graduate multiple regression. It has excellent sections on the misuse of the statistical models and the proper interpretation of effects, two areas glossed over or omitted entirely in most texts. Especially valuable is the description of the three ways of interpreting effects in logistic regression, which none of my students had trouble understanding. Since this is out of print, it won't be a textbook again soon. So why should you buy it used? If you studied regression but felt like the class left you with half-knowledge, this is the book to read. That's how I discovered it -- and I'm glad I did.
2 of 2 people found the following review helpful.
Ahead of his time
By Andrew F. Hayes
Dick Darlington was my advisor in graduate school, and I owe much of my current success to the respect Dick gave me for linear models, in part through his book. I will agree with the first reviewer that some of the notation is not conventional, but so what? Dick was not a conventional thinker. He was writing about regression as a useful tool for social scientists long before it became fashionable. This book is definitely worth having on your bookshelf. If you think you know something about regression, I recommend you read this book. I promise you'll learn something new. It is a shame the book is out of print.
0 of 2 people found the following review helpful.
Dense, Dry, Unclear
By A Customer
While this text may offer some unique insight into the analysis of psychological data, the text suffers from severe limitations. Concepts are not clearly explained, the author's statistical notation deviates wildly from standard notation, and the chapters do not flow well from one to another. In my opinion as a graduate student in the social sciences, this is one text to pass over.
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