SAS System for Regression

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.Regressionsanalyse mit SAS: Die 3. Auflage des bewährten Praxishandbuches beantwortet Ihnen alle wichtigen Fragen zur Software SAS/INSIGHT. Neu aufgenommen wurden Kapitel zur hochauflösenden Graphikausgabe mit PROC REG, zur Beschreibung und Illustration von Datensätzen mit der OUTEST-Option sowie Ausführungen zur Regression mit binärer Antwort (PROC LOGISTIC) und zur parameterfreien Regression (PROC LOESS). Acknowledgments.

Regression Concepts.

Using the REG Procedure.

Observations.

Multicollinearity: Detection and Remedial Measures.

Curve Fitting.

Special Applications of Linear Models.

Nonlinear Models.

Using SAS/INSIGHT Software for Regression.

References.

Index. “…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)

Rudolf J. Freund, Ph.D., former associate director and cofounder of the Department of Statistics at Texas A&M University, is now professor emeritus. Dr. Freund received an M.A. degree in economics from the University of Chicago in 1951 and a Ph.D. in statistics at North Carolina State College in 1955. He has coauthored several impressive books including Regression Methods, SAS^® System for Linear Models, Third Edition, Statistical Methods, and Regression Analysis. Dr. Freund has been a SAS user since 1972 and is a former SUGI chairman.

Ramon C. Littell, Ph.D., is Professor of Statistics at the University of Florida, where he teaches applied statistics and serves as consulting statistician in the Institute of Food and Agricultural Sciences. Dr. Littell is coauthor of the two previous editions of this book with Dr. Freund and is also widely published in statistical and applied journals. Dr. Littell is also coauthor of SAS^® System for Linear Models, Third Edition, SAS^® System for Mixed Models, and SAS^® System for Elementary Statistical Analysis, Second Edition. A SAS user since 1972, Dr. Littell has served as SUGI chairman and is a Fellow of the American Statistical Association.

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.