MA30084: Generalised linear models
Academic Year:  2020/1 
Owning Department/School:  Department of Mathematical Sciences 
Credits:  6 [equivalent to 12 CATS credits] 
Notional Study Hours:  120 
Level:  Honours (FHEQ level 6) 
Period: 
Semester 1 
Assessment:  EX 100% 
Supplementary Assessment: 

Requisites:  Before taking this module 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. Skills: Numeracy T/F A Problem Solving T/F A Written and Spoken Communication F Content: Generalised linear models: Exponential families, standard form, linear predictors and link functions, deviance. Statement of asymptotic theory for the generalised linear model. Vector and matrix representation. Discrete, binary and count data. Contingency tables. Model building: Subset selection and stepwise regression methods. Effects of collinearity in regression variables. Model checking including residuals AIC and BIC. 
Programme availability: NB. Postgraduate programme information will be added when the postgraduate catalogues are published in August 2020 
MA30084 is Compulsory on the following programmes:Department of Mathematical Sciences
MA30084 is Optional on the following programmes:Department of Economics

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