ABSTRACT

Given the importance of linear models in statistical theory and experimental research, a good understanding of their fundamental principles and theory is essential. Supported by a large number of examples, Linear Model Methodology provides a strong foundation in the theory of linear models and explores the latest developments in data analysis.After

chapter 2|10 pages

Basic Elements of Linear Algebra

chapter 3|36 pages

Basic Concepts in Matrix Algebra

chapter 4|30 pages

The Multivariate Normal Distribution

chapter 5|38 pages

Quadratic Forms in Normal Variables

chapter 6|52 pages

Full-Rank Linear Models

chapter 7|46 pages

Less-Than-Full-Rank Linear Models

chapter 8|46 pages

Balanced Linear Models

chapter 10|48 pages

Unbalanced Fixed-Effects Models

chapter 11|78 pages

Unbalanced Random and Mixed Models

chapter 12|46 pages

Additional Topics in Linear Models

chapter 13|42 pages

Generalized Linear Models