This course is concerned with models which can account for a non-normal distribution of the response and/or a non-parametric relationship between variables and/or the fact that data is not independent but correlated.

20 lectures (2 each week)

4 2-hour computer-based practicals

Advanced Predictive Models (ODL)

Generalised Linear Models

Statistics 3G: Generalised Linear Models

20% set exercise - continuous assessment, for example via online quizzes

80% final exam - Degree exam in the exam diet

■ to acquaint students with the theory of exponential families;

■ to introduce generalised linear models;

■ to introduce generalised additive models

■ to introduce models for correlated and grouped data, e.g mixed models

By the end of this course students will be able to:

■ explain and/or derive key aspects of the theory of exponential families and several classes of models.

■ interpret models with various link functions and link distributions

■ select and apply appropriate statistical models to different data structures

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment