Linear Models for Unbalanced Data

Abstract

1. An Up-Dated Viewpoint: Cell Means Models. 2. Basic Results for Cell Means Models: The 1-Way Classification. 3. Nested Classifications. 4. The 2-Way Crossed Classification with All-Cells-Filled Data: Cell Means Models. 5. The 2-Way Classification with Some-Cell Empty Data: Cell Means Models. 6. Models with Covariables (Analysis of Covariance): the 1-Way Classification. 7. Matrix Algebra and Quadratic Forms ( A Prelude to Chapter 8). 8. A General Linear Model. 9. The 2-Way Crossed Classification: Overparameterized Models. 10. Extended Cell Means Models. 11. Models with Covariables: The General Case and Some Applications. 12. Comments on Computing Packages. 13. Mixed Models: A Thumbnail Survey. References. Statistical Tables. List of Tables and Figures. Index.