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Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics), by Ashish Sen, Muni Srivastava
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An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines, showing the difficulties typically encountered in the practice of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject.
- Sales Rank: #2013953 in Books
- Published on: 1997-04-01
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .94" w x 6.14" l, 1.50 pounds
- Binding: Hardcover
- 348 pages
Review
"I found this to be the most complete and up-to-date regression text I have come across...this text has much to offer."
-Journal of the American Statistical
Association
"The material is presented in a lucid and easy-to-understand style...can be ranked as one of the best textbooks on regression in the market."
-mathermatical Reviews
"...a successful mix of theory and practice...It will serve nicely to teach both the logic behind regression and the data-analytic use of regression."
-SIAM Review
Most helpful customer reviews
1 of 1 people found the following review helpful.
Rgression Analysis
By Marc Buslik
This is the consummate regression book. It is ideal for grad work in stats. In particular the examples used are relevant and on target. A must for every social scientist's library.
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