STAT357 Design and Analysis of Experiments
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 and the Gendex DOE toolkit (www.designcomputing.net/gendex). |
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| Combined Units | None | |||||||||
| Coordinator(s) | Robert Murison (rmurison@une.edu.au) | |||||||||
| Unit Description |
Two lectures and a two-hour combined tutorial/laboratory session per week. This unit is concerned with the design and analysis of experiments. Topics include factorial designs, confounded and fractional replicated designs (incl Taguchi), incomplete blocks, design optimality. The block designs are analysed as mixed models. Attention is given to the construction of designs by optimal allocation of units to interested effects. |
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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. |