STAT501 Statistical Modelling for Research
The aim of this paper is to provide postgraduate students with many of the important statistical tools that they require in their research. Students will gain experience in using modern statistical software (R and WinBugs).
We cover the basics of probability through to the fitting of complex models. There will be an emphasis on the practical analysis of real data.
Postgraduate research students (outside the Department of Mathematics and Statistics) who have taken at least a first-course in statistics and want to become familiar with modern methods of analysis and software.
- Probability and Distributions
- Fitting Models to Data
- Normal linear models
- Generalised linear models
Ideally STAT 110/115 or equivalent. Enrolment in a research-based postgraduate programme.
Online access to all of these is available via the University Library
- Gelman and Hill Data Analysis Using Regression and Hierarchical Models
- Maindonald and Braun Data Analysis and Graphics Using R
- Zuur, Ieno and Meesters A Beginner’s Guide to R
David Fletcher, room 219
Thursday 2-5pm, starting in Room 241 and finishing in B21 (computer laboratory), in the Department of Mathematics and Statistics.
There will be four assignments, each contributing 5% towards the final mark, and a project worth 50%.