University of Wollongong - STAT332: Generalised Linear Models

This subject, Generalised Linear Models (STAT332) - considers how to investigate relationships between variables arising from observational studies and designed experiments. Topics include: Model fitting as an approach to statistical analysis, Exponential family of distributions, Maximum likelihood estimation, Inference methods based on model fitting, Models for multiple linear regression; estimation and analysis; diagnostics and model selection. Generalised linear models for categorical data; logistic regression for nominal and ordinal data, Poisson regression and log-linear models and Additive models.

✔ On successful completion of this subject, you will be able to: 

• explain the theory and techniques of model building using linear and generalised linear models;
• apply the theory and techniques to practical problems and use these methods for the purposes of statistical analysis;
• undertake model building and fitting for problems representative of those arising in scientific research, industry, and commerce; and,
• apply and interpret appropriate procedures from a statistical package such as SAS or R.