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Read ebook [PDF] SAS System for Regression, Third Edition (Wiley Series in Probability and

Link >> https://greatfull.fileoz.club/yupu/1580257259 =============================== 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, in

Link >> https://greatfull.fileoz.club/yupu/1580257259

===============================
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, in

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SAS System for Regression, Third Edition (Wiley Series in

Probability and Statistics)

Sinopsis :

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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