Regression and Anova: An Integrated Approach Using SAS Software (Paperback)

Preface.

Examples and Limits of the GLM.

Statement of the Model, Estimation, and Testing.

Some Distributions for the GLM.

Multiple Regression: General Considerations.

Testing Hypotheses in Multiple Regression.

Correlations.

GLM Assumption Diagnostics.

GLM Computation Diagnostics.

Polynomial Regression.

Transformations.

Selecting the Best Model.

Coding Schemes for Regression.

One-Way ANOVA.

Complete, Two-Way Factorial ANOVA.

Special Cases of Two-Way ANOVA and Random Effects Basics.

The Full Model in Every Cell (ANCOVA as a Special Case).

Understanding and Computing Power for the GLM.

Appendix A. Matrix Algebra for Linear Models.

Appendix B. Statistical Tables.

Appendix C. Study Guide for Linear Model Theory.

Appendix D. Homework and Example Data.

Appendix E. Introduction to SAS/IML.

Appendix F. A Brief Manual to LINMOD.

Appendix G. SAS/IML Power Program User's Guide.

Appendix H. Regression Model Selection Data.

References.

Index.