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Generalized Linear Models - STAT711

This unit starts with the classical normal linear regression model. The family of generalized linear models is then introduced and maximum likelihood estimators are derived. Models for counted responses, binary responses, continuous non-normal responses and categorical responses; and models for correlated responses, both normal and non-normal, and generalized additive models, are studied. All models and methods are illustrated using data sets from scientific disciplines such as biology, marine science and medicine. SAS software is used.

Credit Points: 4
When Offered:

S2 Evening - Session 2, North Ryde, Evening

Staff Contact(s): Professor Gillian Heller

Admission to MRes Prerequisite Information



NCCW(s): STAT411, STAT811
Unit Designation(s):
Assessed As: Graded
Offered By:

Department of Statistics

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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