SAS System for Regression

Rudolf Jakob Freund

ISBN 10: 1555444296 / ISBN 13: 9781555444297

Published by SAS Institute Inc, 1991

About this Item

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 LOES. 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.

Seller Inventory # CIN1555444296G

Bibliographic Details

• Title: SAS System for Regression
• Publisher: SAS Institute Inc
• Publication Date: 1991
• Language: English
• ISBN 10: 1555444296
• ISBN 13: 9781555444297
• Binding: Paperback
• Edition: 2nd Edition
• Condition: Good

About this title

Synopsis

Experienced SAS System users will find this an invaluable guide to SAS procedures for performing regression analyses. Simple and multiple variable models are discussed as well as polynomial models, log-linear models, spline functions, and restricted linear models. With this book you will become a pro at using various MODEL statement options with the REG procedure and creating data sets with the OUTPUT statement, detecting multicollinearity and combating its effects,and fitting a growth curve with the NLIN procedure.

Supports releases 6.07 and higher of SAS software.

About the Author

Rudolf J. Freund, Ph.D. and Ramon C. Littell, Ph.D.

Dr. Freund and Dr. Littell, both SAS users since 1972 and former SUGI chairmen, were closely associated with the Southern Regional Project that funded continued SAS development at North Carolina State University. In addition to their university positions, both authors publish widely in statistical and applied journals, consult in industry, and serve as Consulting Statisticians to their state Agricultural Experiment Stations. They are both fellows of the American Statistical Association.