This subject aims to prepare students for professional work in the area. Topics include: revision of linear models and exponential families; generalised linear models; applications including logistic regression and contingency tables; modelling using statistical distributions; continuous distribution models; and discrete ditribution models.
Assessment: Three assignments.
Spring semester, City campus
1. This subject is offered subject to demand.