STAT7030 Generalised Linear Models
| Offered By | Rsch Sch of Finance, Actuarial Studies & App Stats |
|---|---|
| Academic Career | Graduate Coursework |
| Course Subject | Statistics |
| Offered in | Second Semester, 2012 and Second Semester, 2013 |
| Unit Value | 6 units |
| Course Description |
This course is intended to introduce students to generalised linear modelling methods for both discrete and continuous response data. Review of multiple linear regression and the analysis of variance; use of transformations and weighting in linear models. Logistic regression for binary response data. Generalised linear models; estimation and inference using iteratively re-weighted least squares (IRLS). Poisson regression; loglinear models for contingency tables. |
| Learning Outcomes |
Introduction to generalised linear modelling methods, structural assumptions and diagnostics for both discrete and continuous responses. |
| Indicative Assessment |
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| Workload |
10 hours per week |
| Course Classification(s) | TransitionalTransitional courses are designed for students from a broad range of backgrounds and learning achievements, which provide for the acquisition of generic skills; or an informed understanding of contemporary issues; or fundamental knowledge for transition to Advanced or Specialist courses. |
| Areas of Interest | Actuarial Studies and Statistics |
| Eligibility |
At least an average of 65% (or equivalent) in the final two years of an Australian undergraduate degree with at least two years of university level statistical and mathematical study including calculus and linear algebra, as well as mathematical statistics and linear regression theory. |
| Programs | Master of Applied Statistics and Master of Applied Statistics |
| Other Information |
Please refer to Course Website |
The information published on the Study at ANU 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.
