Stat 425 syllabus
Applied Linear Models
Bulletin Description Some results of matrix algebra, multivariate normal
distributions, distributions of quadratic forms, general linear models, design
models with one factor and two factors including interaction, component-of-
variance models, computing techniques.
Prerequisite MA 237 and ST 335 or ST 340. Computer Lab fee.
Text Theory and Application of the Linear Model by Franklin A. Graybill,
Wadsworth & Brooks/Cole Advanced Books and Software, 1976.
Coverage Material to be selected by the instructor
Learning Objectives The purpose of this course is to provide students with a
solid foundation in the theory of linear models that will be useful in understanding
the basic concepts of experimental designs, linear regression analysis,
multivariate analysis. This course also provides various computing techniques
using appropriate software.
Updated February 18, 2014