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 LOESS. 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.
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Rudolf J. Freund, Ph.D.
Rudolf J. Freund, PhD 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 PhD 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 user since 1972 and is a former SUGI chairman.
Ramon C. Littell, Ph.D.
Ramon C. littell, PhD is Professor of Statistics at the University of Florida, where he teaches appl statistics and serves as consulting statistician in the Institute of Food and Agricultural Sciences. is coauthor of the two previous editions of this book with Dr. Freund and is also widely published i and applied journals. Dr. Littell is also coauthor of SAS System for Linear Models, Third Edition, Mixed Models, and SAS System for Elementary Statistical Analysis, Second Edition. A SAS user since has served as SUGI chairman and is a Fellow of the American Statistical Association.
Simply superb! The novice will appreciate the gentle introduction to regression methods, while the more advanced reader will find challenging topics including non-parametric smoothing, moving averages, spline fitting, response surface plots, and ridge regression presented in a concise, applied fashion. A perfect companion to classic regression texts such as Neter, Wasserman and Kutner, and Montgomery and Peck. --Jimmy Thomas Efird, Stanford School of Medicine, Division of Epidemiology
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