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Synopsis
This book describes how to use the SAS System to perform a wide variety of different regression analyses, such as using various models as well as diagnosing data problems. Topics include performing linear regression analyses using PROC REG; diagnosing and providing remedies for data problems including outliers and multicollinearity; using regression to fit a variety of different models, including nonlinear models; using SAS/INSIGHT software for performing regression analysis. Examples feature many SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others.
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About the Author
Rudolf Freund is Professor Emeritus, Texas A&M University.
Ramon Littell is at the University of Florida.
From the Back Cover
Learn to perform a wide variety of regression analyses using SAS® software with this example-driven revised favorite from SAS Publishing. With this Third Edition you will learn the basics of performing regression analyses using a wide variety of models including nonlinear models. Other topics covered include
- performing linear regression analyses using PROC REG
- diagnosing and providing remedies for data problems, including outliers and multicollinearity.
Examples feature numerous SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others. A helpful discussion of theory is supplied where necessary. Some knowledge of both regression and the SAS System are assumed.
New for this edition
The Third Edition includes revisions, updated material, and new material. You’ll find new information on
- using SAS/INSIGHT® software
- regression with a binary response with emphasis on PROC LOGISTIC
- nonparametric regression (smoothing) using moving averages and PROC LOESS.
Additionally, updated material throughout the book includes high-resolution PROC REG graphics output, using the OUTEST option to produce a data set, and using PROC SCORE to predict another data set.
"About this title" may belong to another edition of this title.
- PublisherWiley-SAS
- Publication date2000
- ISBN 10 0471416649
- ISBN 13 9780471416647
- BindingPaperback
- LanguageEnglish
- Edition number3
- Number of pages256
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SAS System for Regression
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SAS System for Regression
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