Contents - 1. Introduction. Part One: Normal error distributions. 2. Multivariate analysis of variance. 3. Univariate analysis of variance. 4. Regression methods. 5. Random effects models. 6. Covariance structures. Part Two: Non-normal error distributions. 7. Continuous non-normal measures: Gaussian estimation. 8. Nonlinear models. 9. Generalized linear models and maximum quasi-likelihood estimation. 10. Binary and categorical measures. Part Three: Comparisons od methods. 11. Relationship between methods. Appendix A. Appendix B.