2021-2022 Graduate Catalog

MATH 529 Analysis of Variance in Experimental Design Models

Multivariate normal distribution; quadratic forms; linear models; simple random, randomized block, Latin squares, factorial, split-plot, balanced incomplete block designs; analysis of covariance; confounding; and multiple comparison tests. Prerequisite: MATH 321 or equivalent. Not open to students who have credit in MATH 429.