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Generalized Linear Models - STAT811
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: | 4 |
| When Offered: | E2 - Evening; Offered in Session 2, North Ryde X2 - External study; Offered in Session 2 |
| Staff Contact(s): | Associate Professor Gillian Heller |
| Prerequisites: |
Admission to MAppStat or PGDipAppStat or PGCertAppStat |
| Corequisites: |
STAT810 or permission of Executive Dean of Faculty |
| NCCW(s): | |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
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