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2010/1 Module Catalogue
 Module Code: MAT2002 Module Title: GENERAL LINEAR MODELS
Module Provider: Mathematics Short Name: MS236
Level: HE2 Module Co-ordinator: YOUNG KD Dr (Maths)
Number of credits: 15 Number of ECTS credits: 7.5
Module Availability
Semester 2
Assessment Pattern

Unit(s) of Assessment


Weighting Towards Module Mark( %)


2 hour unseen examination




Two pieces of coursework and class test




Qualifying Condition(s) 


A weighted aggregate mark of 40% is required to pass the module.



Module Overview
This module introduces least squares fitting, methods of inference based on normal theory, diagnostics and analysis of data from simple designs.
MAT1025 Probability and Experiment
Module Aims
The aims of the module are to introduce concepts involved in general linear models and to equip students with the diagnostic techniques necessary to assess the suitability of a given model. The methods used in analysing simple one-way and two-way experiments and Latin squares designs are also covered.
Learning Outcomes

At e  At the end of the module a student should:


·         be familiar with the main results and methods of the linear and generalised linear models considered in the module;


·         be able to apply these results to analyse appropriate data;


·         be able to interpret the results from such analyses.


Module Content

Review of one- and two sample normal-based methods, revision of R. Covariance and correlation. The linear model. Least squares estimation. Simple and multiple regression. Selection of variables.

Completely randomised and randomised block experiments. One- and two-way analysis of variance. Interaction. Contrasts.. General regression approach to analysis, residual analysis and diagnostics.
Methods of Teaching/Learning
3 contact hours per week for 10 weeks. Teaching is by lectures, tutorials and computing labs. Learning takes place through lectures, tutorials, practicals, exercises and background reading.
Selected Texts/Journals

DC Montgomery , Design and Analysis of Experiments, Chapman and Hall, 1993.


WJ Krzanowski, An introduction to statistical modelling, Arnold , 1998.


BS Everitt, Statistical Analyses using S-Plus, Chapman and Hall, 1994.


GB Wetherill, Intermediate Statistical Methods, Chapman and Hall, 1998.
Last Updated
September 10