SAS System for Regression
3rd Edition
Published in December 2000
Book
Paperback/Softback
256 pages
978-0-471-41664-7 (ISBN)
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.
Reviews / Votes
"...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)More details
Edition
3., Aufl.
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Dimensions
Height: 279 mm
Width: 210 mm
Thickness: 13 mm
Weight
1361 gr
ISBN-13
978-0-471-41664-7 (9780471416647)
Schweitzer Classification
Persons
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 (R) 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 (R) System for Linear Models, Third Edition, SAS (R) System for Mixed Models, and SAS (R) 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.
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 (R) System for Linear Models, Third Edition, SAS (R) System for Mixed Models, and SAS (R) 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.
Content
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.