John Wiley & Sons Inc SAS System for Regression

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) Product Description 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. From the Back Cover <p>Learn to perform a wide variety of regression analyses using SAS^&#174; 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</p> <ul><li>performing linear regression analyses using PROC REG</li> <li>diagnosing and providing remedies for data problems, including outliers and multicollinearity.</li></ul> <p>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. <p><b>New for this edition</b> <p>The Third Edition includes revisions, updated material, and new material. You&#8217;ll find new information on <ul><li> using SAS/INSIGHT^&#174; software</li> <li>regression with a binary response with emphasis on PROC LOGISTIC</li> <li>nonparametric regression (smoothing) using moving averages and PROC LOESS.</li></ul> <p>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 the Author Rudolf Freund is Professor Emeritus, Texas A&M University. Ramon Littell is at the University of Florida.