I. Introduction.- II. Estimation.- III. Testing Hypotheses.- IV. One-Way ANOVA.- V. Multiple Comparison Techniques.- VI. Regression Analysis.- VII. Multifactor Analysis of Variance.- VIII. Experimental Design Models.- IX. Analysis of Covariance.- X. Estimation and Testing in a General Gauss-Markov Model.- XI. Split Plot Models.- XII. Mixed Models and Variance Components.- XIII. The Analysis of Residuals and Influential Observations in Regression.- XIV. Additional Topics in Variable Selection and Collinearity.- XV. Maximum Likelihood Theory for Log-Linear Models.- Appendix Vector Spaces.- Appendix Matrices.- Appendix Some Univariate Distributions.- Appendix Multivariate Distributions.- Appendix Tests and Confidence Intervals for Some One Parameter Problems.- Appendix Approximate Methods for Unbalanced ANOVA's.- Appendix Randomization Theory Models.- References.- Author Index.