Linear Statistical Models

Course content

Generalized and conditional inverses, derivatives of quadratic and linear forms, expectation of a matrix. Distributions of quadratic forms. Theory of general linear hypotheses, theory of least squares, full rank and less than full rank models, design models, components of variance models, estimation, hypothesis testing and correlation analysis. Applications to ANOVA and regression. CCH: (1-0) 1.