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SAS STAT 9.2 User's Guide_ Introduction to Statistical Modeling with SAS STAT Software (Book Excerpt)

IP.com Disclosure Number: IPCOM000243278D
Original Publication Date: 2008-Dec-31
Included in the Prior Art Database: 2015-Sep-18
Document File: 60 page(s) / 1M

Publishing Venue

SAS Institute Inc.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 4% of the total text.

Page 01 of 60

SAS/STAT® 9.2 User's Guide

Introduction to Statistical Modeling with SAS/STAT Software

(Book Excerpt)

SAS® Documentation



Page 02 of 60

This document is an individual chapter from SAS/STAT® 9.2 User's Guide.

The correct bibliographic citation for the complete manual is as follows: SAS Institute Inc. 2008. SAS/STAT® 9.2 User's Guide. Cary, NC: SAS Institute Inc.

Copyright © 2008, SAS Institute Inc., Cary, NC, USA


All rights reserved. Produced in the United States of America.

For a Web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication.

U.S. Government Restricted Rights Notice: Use, duplication, or disclosure of this software and related documentation by the U.S. government is subject to the Agreement with SAS Institute and the restrictions set forth in FAR 52.227-19, Commercial Computer Software-Restricted Rights (June 1987).

SAS Institute Inc., SAS Campus Drive, Cary, North Carolina 27513.
1st electronic book, March 2008
2nd electronic book, February 2009
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Page 03 of 60

Chapter 3

Introduction to Statistical Modeling with SAS/STAT Software

Contents

Overview: Statistical Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

Statistical Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
Classes of Statistical Models . . . . . . . . . . . . . . . . . . . . . . . . . . 31

     Linear and Nonlinear Models . . . . . . . . . . . . . . . . . . . . . 31
Regression Models and Models with Classification Effects . . . . . 33
Univariate and Multivariate Models . . . . . . . . . . . . . . . . . 34
Fixed, Random, and Mixed Models . . . . . . . . . . . . . . . . . 35
Generalized Linear Models . . . . . . . . . . . . . . . . . . . . . . 37
Latent Variable Models . . . . . . . . . . . . . . . . . . . . . . . . 38
Bayesian Models . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Classical Estimation Principles . . . . . . . . . . . . . . . . . . . . . . . . 42

         Least Squares . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Likelihood . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Inference Principles for Survey Data . . . . . . . . . . . . . . . . . 47
Statistical Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

Hypothesis Testing and Power . . . . . . . . . . . . . . . . . . . ....