STAT356 Linear Models
Updated: 28 October 2008| Credit Points | 6 | |||||||||
| Offering |
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| Online level | Level D - Comp/internet essential | |||||||||
| Intensive School(s) | None | |||||||||
| Supervised Exam | November | |||||||||
| Pre-requisites | STAT261 or candidature in a postgraduate award in the School of Environmental and Rural Science or School of Science and Technology | |||||||||
| Co-requisites | None | |||||||||
| Restrictions | None | |||||||||
| Notes | off-campus students must have access to the statistical package R |
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| Combined Units | None | |||||||||
| Coordinator(s) | Bernard Ellem (bellem2@une.edu.au) | |||||||||
| Unit Description |
A balance between theoretical development and practical application will be maintained. Topics will include: model building, assessing the fit of the model, analysis of residuals; components of a generalised linear model, estimation, analysis of deviance, binary variables, logistic regression. Two lectures and a one-hour laboratory session per week. |
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| Prescribed Material Mandatory |
Text information will be published prior to commencement of the teaching period. | |||||||||
| Recommended Material Optional |
Text information will be published prior to commencement of the teaching period. | |||||||||
| Disclaimer | Offer of some subjects is subject to viability. Information in these unit descriptions is subject to change prior to commencement of semester. |