STAT300 Statistical Modelling
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 | None | |||||||||
| 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 | None | |||||||||
| Combined Units | None | |||||||||
| Coordinator(s) | Bernard Ellem (bellem2@une.edu.au) | |||||||||
| Unit Description |
The aim of the unit is to introduce trainee statisticians to a broad range of advanced techniques in statistics that they will encounter later as consultant statisticians to clients requiring advice and support. Topics include stepwise regression, mixed models, generalised linear models, semi-parametric regression longitudinal data analysis, bootstrap and multivariate methods. |
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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. |