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.

�ber die Autorin bzw. den Autor

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.

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