Generalised Linear Models - STAT411
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 disciplines such as biology, actuarial studies and medicine. SAS software is used.
| Credit Points: | 3 |
| When Offered: | TBD - Not offered in the current year; next offering is to be determined |
| Staff Contact(s): | Professor Gillian Heller |
| Prerequisites: |
(39cp at 100 level or above) including (STAT272 or STAT306 or STAT371) |
| Corequisites: | |
| NCCW(s): | |
| Unit Designation(s): | |
| Unit Type: | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science and Engineering |
Course structures, including unit offerings, are subject to change.
Need help? Ask us.