Probabilistic accuracy bounds for fault-tolerant computations that discard tasks
Proceedings of the 20th annual international conference on Supercomputing
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From the Publisher: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 PROVC 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. Supports releases 6.12 and higher of SAS software.Author Biography: Rudolf J. Freund, PhD 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 MA degree in econonics 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, StatisticalMethods, and Regression Analysis. Dr Freund has been a SAS user since 1972 and is a former SUGI chairman. Ramon C. Littell, PhD Ramon C. littell, PhD 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 Little 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.