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