BIOST 533

BIOST 533 Theory of Linear Models (3)
Examines model structure; least squares estimation; Gauss-Markov theorem; central limit theorems for linear regression; weighted and generalized least squares; fixed and random effects; analysis of variance; blocking and stratification; and applications in experimental design. Prerequisite: STAT 421 or STAT 423; and STAT 513, BIOST 515, and a course in matrix algebra Offered: jointly with STAT 533; Spring
Spring 2017
Line Number Section ID Credits Times Bldg/Room Instructor
11492 A 3
Monday, Wednesday 1:00pm - 2:20pm
HST T531 (HST) Inoue, Lurdes
Spring 2016
Line Number Section ID Credits Times Bldg/Room Instructor
11589 A 3
Monday, Wednesday 1:00pm - 2:20pm
T531, Health Sciences (HST) Cook, Andrea