STAT300 Statistical Modelling
Updated: 05 May 2009| Credit Points | 6 | |||||||||
| Offering |
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| Online level | Level D - Comp/internet essential | |||||||||
| Intensive School(s) | None | |||||||||
| Supervised Exam | There is no UNE Supervised Examination. | |||||||||
| 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) | Robert Murison (rmurison@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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| Recommended Material Optional |
Text(s):
Note: Recommended material is held in the University Library - purchase is optional
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| Disclaimer | Unit information may be subject to change prior to commencement of the teaching period. |