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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 generalised additive models, are studied. Zero-inflated models are also considered. All models and methods are illustrated using data sets from disciplines such as biology, actuarial studies and medicine.

Credit Points: 4
When Offered:

S2 Evening - Session 2, North Ryde, Evening

Staff Contact(s): Statistics Staff

Admission to MRes Prerequisite Information



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

Department of Mathematics and Statistics

Faculty of Science and Engineering

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