MATH 532 - Gen. Linear & Mixed Models

Credits: 4

One-way and two-way Analysis of variance (ANOVA), including nested and crossed models, and multiple comparisons for ANOVA. GLM basics, including exponential families, link functions, likelihood, quasi-likelihood, conditional likelihood, iterative reweighted least squares, EM algorithm, and diagnostic techniques. Linear mixed model (LMM) basics including variance components, prediction of random effects. Co\Prerequisite: Math 531 or 555. 4 cr. Spring only.