STA 5002 - Applied Linear Models I

(4 credits)

Review of basic results from probability and statistics, linear regression, model testing and transformations, matrix methods in multiple regression, polynomial regression, indicator variables, basics of experimental design, one-way ANOVA with fixed and random effects, multiple comparisons, randomized blocks. Required background: a first course in statistics. Prerequisite: STA 5001.

Prerequisite(s): Student must meet prerequisite (STA 501). Required background: a first course in statistics.

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.