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Courses in Mathematics and Statistics Level 1 Modules Level 2 Modules Level 3 Modules Level 4 Modules Level 5 Modules Honours timetable 2011/2012 Sem. 1 2011/2012 Sem. 2 2012/2013 Sem. 1 & Sem. 2 2013/2014 Sem. 1 & Sem. 2

MT5753 STATISTICAL MODELLING Compulsory module for M. Res. Environmental Biology and M. Res. in Environmental Biology Conversion for Mathematical, Physical and Molecular Sciences Postgraduate Taught Programmes. Aims This course teaches linear and generalized linear models using a data-based approach. A case-study is used throughout the course and each chapter begins with research questions which are addressed using the methods contained inside. Objectives By the end of the course students are expected to be able to use generalized linear models to help understand research questions, to understand the assumptions of the methods and to be able to interpret and criticise analysis results. Syllabus The following methods/issues are covered: Parameter Estimation using Maximum Likelihood Confidence intervals and hypothesis testing Multiple linear regression & Generalized Least Squares models Generalized Linear Models for Binomial and Poisson data Overdispersion This course aims to teach good statistical modelling practice in addition to model details, and so exploratory data analysis, model specification & fitting and model assessment issues are covered for each data type. Textbooks An R and S-PLUS Companion to Applied Regression by John Fox (2002) Extending the linear model with R: generalized linear, mixed effects, and nonparametric regression models by Julian Faraway (2006): Chapman and Hall/CRC Press Course materials and software Course notes with gaps will be provided. All examples in the course notes will be performed using R and SAS software and all code required in the course (and practicals) will be provided, so no previous experience with these software packages is assumed. Assessment Two hour examination: 50% Continuous assessment: 50% Prerequisites At least one MT4000 level module Availability Every year in semester 1 at 2 (4 weeks: time provisional) Lecturers Dr M L MacKenzie, Ms L Scott-Hayward Click here for access to past examination papers via iSaint. Click here to see the University Course Catalogue entry. Revised: PMH (September 2012)