9781580257251-1580257259-SAS System for Regression, Third Edition (Wiley Series in Probability and Statistics)

SAS System for Regression, Third Edition (Wiley Series in Probability and Statistics)

ISBN-13: 9781580257251
ISBN-10: 1580257259
Edition: 3RD
Author: Rudolf Freund
Publication date: 2008
Publisher: SAS Institute
Format: Paperback 262 pages
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Book details

ISBN-13: 9781580257251
ISBN-10: 1580257259
Edition: 3RD
Author: Rudolf Freund
Publication date: 2008
Publisher: SAS Institute
Format: Paperback 262 pages

Summary

SAS System for Regression, Third Edition (Wiley Series in Probability and Statistics) (ISBN-13: 9781580257251 and ISBN-10: 1580257259), written by authors Rudolf Freund, was published by SAS Institute in 2008. With an overall rating of 4.3 stars, it's a notable title among other Unix (Operating Systems) books. You can easily purchase or rent SAS System for Regression, Third Edition (Wiley Series in Probability and Statistics) (Paperback) from BooksRun, along with many other new and used Unix books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.62.

Description

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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