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, and randomized blocks. Required background: a first course in statistics. Prerequisite: STA 5001. STA 5002 is cross-listed with an undergraduate course, STA 4002. Student may not receive credit for both courses.

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