STA 603 - Introduction to Linear Models and Experimental Design

[3 Credit Hours]

Multivariate normal distribution, linear models in matrix notation, multiple linear regression (distribution results, categorical predictors, interactions, connection to ANOVA, sums of squares, diagnostics, ridge and nonparametric regression), Generalized linear models (binomial, poisson, and gamma regression), overdispersion, mixed models, diagnostics, professional presentation of results.

Prereq: STA 602, coreq: STA 606