Regression Analysis: Statistical Modeling of a Response Variable / Edition 1

Regression Analysis: Statistical Modeling of a Response Variable / Edition 1

by Rudolf J. Freund
     
 

ISBN-10: 0122674758

ISBN-13: 9780122674754

Pub. Date: 01/28/1998

Publisher: Elsevier Science & Technology Books

Regression Analysis provides students with the skills and techniques necessary for the intelligent statistical analysis of a response variable. The book underscores statistical concepts, de-emphasizes formulas, and incorporates real data from the most popular package at this level, SAS. Regression Analysis also covers other linear models such as analysis…  See more details below

Overview

Regression Analysis provides students with the skills and techniques necessary for the intelligent statistical analysis of a response variable. The book underscores statistical concepts, de-emphasizes formulas, and incorporates real data from the most popular package at this level, SAS. Regression Analysis also covers other linear models such as analysis of variance, analysis of covariance, analysis of a binary response variable, as well as an introduction to nonlinear regression.

* Discusses the analysis of data including estimation, diagnostics, and remedial actions
* Includes examples and exercises which contain both real and simulated data
* Emphasizes computer implementation and methods
* Provides many references for related and more advanced methods
* Supported by instructor�s manual containing data sets on disk

Product Details

ISBN-13:
9780122674754
Publisher:
Elsevier Science & Technology Books
Publication date:
01/28/1998
Edition description:
Older Edition
Pages:
444
Product dimensions:
7.84(w) x 9.62(h) x 1.06(d)

Table of Contents

Preface
Overview
Pt. IThe Basics1
1The Analysis of Means: A Review of Basics and an Introduction to Linear Models5
2Simple Linear Regression: Linear Regression with One Independent Variable35
3Multiple Regression75
Pt. IIProblems and Remedies117
4Problems with Observations119
5Multicollinearity181
6Problems with the Model229
Pt. IIIAdditional Uses of Regression271
7Polynomial Models273
8Intrinsically Linear and Nonlinear Models303
9The General Linear Model339
10Categorical Response Variable375
App. AStatistical Tables407
App. BA Brief Introduction to Matrices428
App. CEstimation Procedures434
References439

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