Primer of Applied Regression & Analysis of Variance / Edition 2

Primer of Applied Regression & Analysis of Variance / Edition 2

by Stanton Glantz, Bryan Slinker, Bryan K. Slinker
     
 

ISBN-10: 0071360867

ISBN-13: 9780071360869

Pub. Date: 10/25/2000

Publisher: McGraw-Hill Professional Publishing

Applicable for all statistics courses or practical use, teaches how to understand more advanced multivariate statistical methods, as well as how to use available software packages to get correct results. Study problems and examples culled from biomedical research illustrate key points. New to this edition: broadened coverage of ANOVA (traditional analysis of…  See more details below

Overview

Applicable for all statistics courses or practical use, teaches how to understand more advanced multivariate statistical methods, as well as how to use available software packages to get correct results. Study problems and examples culled from biomedical research illustrate key points. New to this edition: broadened coverage of ANOVA (traditional analysis of variance), the addition of ANCOVA (analysis of Co-Variance); updated treatment of available statistics software; 2 new chapters (Analysis of Variance Extensions and Mixing Regression and ANOVA: ANCOVA).

Product Details

ISBN-13:
9780071360869
Publisher:
McGraw-Hill Professional Publishing
Publication date:
10/25/2000
Edition description:
List
Pages:
949
Product dimensions:
7.70(w) x 9.60(h) x 1.90(d)

Table of Contents

Why Do Multivariate Analysis?.
The First Step: Understanding Simple Linear Regression.
Regression With Two or More Independent Variables.
Do the Data Fit the Assumptions?.
Multicollinearity and What to Do About It.
Selecting the "Best" Regression Model.
One-Way Analysis of Variance.
Two-Way Analysis of Variance.
Repeated Measures.
Mixing Continuous and Categorical Variables: Analysis of Covariance.
Nonlinear Regression.
Regression With a Qualitative Dependent Variable.
APPENDIX A. A Brief Introduction to Matrices and Vectors.
APPENDIX B. Statistical Package Cookbook.
APPENDIX C. Data for Examples.
APPENDIX D. Data for Problems.
APPENDIX E. Statistical Tables.
APPENDIX F. Solutions to Problems.

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