Linear Statistical Models

Course description

Topics include theory of general linear model and generalized linear models such as random vectors, multivariate normal distribution, distributions of quadratic forms, general linear models for normal data, extension to generalized linear models for non-normal data such as binary, polytomous and count data; point and interval estimation; and hypothesis testing.


STAT 6331 and MATH 2418.

Spring 2018