Department of Mathematical Sciences, Unit Catalogue 2011/12 

Credits:  6 
Level:  Honours (FHEQ level 6) 
Period: 
Semester 1 
Assessment:  EX 100% 
Supplementary Assessment:  MA30084 Mandatory extra work (where allowed by programme regulations) 
Requisites:  Before taking this unit you must take MA20227 
Description:  Aims: To present the theory and application of generalised linear models, including estimation, hypothesis testing and confidence intervals. To describe methods of model choice and model checking. Learning Outcomes: On completing the course, students should be able to * choose an appropriate generalised linear model for a given set of data; * fit this model using R, select terms for inclusion in the model and assess the adequacy of a selected model; * make inferences on the basis of a fitted model and recognise the assumptions underlying these inferences and possible limitations to their accuracy. Content: Generalised linear models: Exponential families, standard form, linear predictors and link functions, deviance. Statement of asymptotic theory for the generalised linear model, Fisher information. Vector and matrix representation. Model building: Subset selection and stepwise regression methods. Effects of collinearity in regression variables. Model checking including residuals AIC and BIC. 
Programme availability: 
MA30084 is Compulsory on the following programmes:Department of Mathematical Sciences
MA30084 is Optional on the following programmes:Department of Mathematical Sciences
