STAT811: Generalized Linear Models
This unit extends regression techniques to non-normal data, demonstrates their applicability to nonlinear models and shows how such techniques may be used to analyse discrete, categorical, ordinal and correlated responses. SAS software is used.
| Credit Points: | 4 |
| Contact Hours: | -- |
| When Offered: |
E2 - Evening; Offered in the second half-year
X2 - External study; Offered in the second half-year (On Campus session: No session) |
| Staff Contact: | Associate Professor Gillian Heller |
| Prerequisites: | |
| Corequisites: | STAT810 or STAT371 |
| NCCWs: | STAT411 |
| Unit Designations: | Commerce |
| Assessed As: | Graded |
| Offered By: |
Department of Statistics Faculty of Science |