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 include performing linear regression analyses using PROC REG and 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 SAS are assumed. The updated third edition includes revisions, updated material, and new material. You'll find information on using SAS/INSIGHT software, regression with a binary response with emphasis on PROC LOGISTIC, and nonparametric regression (smoothing) using moving averages and PROC LOESS. Additionally, updated material throughout the book includes high-resolution PROC REG graphics output, data sets by the OUTEST option described and illustrated, and using PROC SCORE to predict another data set.

Review:

“...a user–friendly text...easy–to–use...” (Statistical Methods in Medical Research, No.13, 2004)

"This example–driven volume offers instruction on a wide variety of regression analyses using SAS software." (SciTech Book News, Vol. 25, No. 3, September 2001)

"Any statistician or SAS user who does regression analysis must own this book." (Technometrics, Vol. 43, No. 4, November 2001)

"...an excellent introduction to regression and its implementation in SAS." (Journal of the American Statistical Association, December 2001)

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SAS System for Regression

Freund, Rudolf Jakob; Littell, Ramon C.; Sas Institute

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