SAS System for Regression (Third Edition) (Wiley Series in Probability and Statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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

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Rudolf J. Freund; Ramon C. Littell 作者
SAS Publishing
譯者
2000-10-17 出版日期
264 頁數
USD 43.95 價格
Paperback
叢書系列
9781580257251 圖書編碼

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SAS System for Regression (Third Edition) (Wiley Series in Probability and Statistics) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

SAS System for Regression (Third Edition) (Wiley Series in Probability and Statistics) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

SAS System for Regression (Third Edition) (Wiley Series in Probability and Statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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SAS System for Regression (Third Edition) (Wiley Series in Probability and Statistics) 在線電子書 著者簡介


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SAS System for Regression (Third Edition) (Wiley Series in Probability and Statistics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

SAS System for Regression (Third Edition) (Wiley Series in Probability and Statistics) 在線電子書 圖書描述

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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