Generalised Linear Models (Level M) STATS5019
- Academic Session: 2019-20
- School: School of Mathematics and Statistics
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: Yes
- Available to Erasmus Students: Yes
This course introduces the class of models known as generalised linear models, providing an overview of the theory of estimation and inference as well as practical examples from various areas of applications.
20 lectures (2 each week in Weeks 1-10 of Semester 2), 5 tutorials (fortnightly), two 2-hour practical classes.
Requirements of Entry
STATS4043 Generalised Linear Models
STATS3TBC Statistics 3G: Generalised Linear Models
120-minute, end-of-course examination
Main Assessment In: April/May
To provide an overview of linear statistical models and their generalizations;
To acquaint students with the theory of generalized linear models;
To provide practical examples from various areas of applications.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ use models with various link functions and link distributions such as models for discrete data;
■ perform binary regression and analysis of contingency tables;
■ apply log-linear models;
■ analyse a given set of data using generalised linear models;
■ explain and rigorously derive key aspects of the theory of generalised linear models.
Minimum Requirement for Award of Credits