# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

 University Homepage DRPS Homepage DRPS Search DRPS Contact
DRPS : Course Catalogue : School of Mathematics : Mathematics

# Postgraduate Course: Generalised Regression Models (MATH11187)

 School School of Mathematics College College of Science and Engineering Credit level (Normal year taken) SCQF Level 11 (Postgraduate) Availability Not available to visiting students SCQF Credits 10 ECTS Credits 5 Summary The course builds on the material covered in MATH10095 Statistical Methodology, extending the statistical techniques described to generalised linear models. Course description Topics to be covered include : - generalised linear models; - analysis of deviance; - exponential families; and - generalised linear mixed models.
 Pre-requisites Students MUST have passed: Statistical Methodology (MATH10095) OR Linear Statistical Modelling (MATH10005) Co-requisites Prohibited Combinations Students MUST NOT also be taking Likelihood (MATH10004) OR Likelihood and Generalized Linear Models (MATH11121) Other requirements None
 Academic year 2017/18, Not available to visiting students (SS1) Quota:  None Course Start Semester 2 Timetable Timetable Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 22, Seminar/Tutorial Hours 5, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 69 ) Assessment (Further Info) Written Exam 95 %, Coursework 5 %, Practical Exam 0 % Additional Information (Assessment) Coursework 5%; Examination 95% Feedback Not entered Exam Information Exam Diet Paper Name Hours & Minutes Main Exam Diet S2 (April/May) Generalised Regression Models (MATH11187) 2:00
 On completion of this course, the student will be able to: understand generalised linear models and their application to different problems.understand mixed effects and their interpretations.identify and apply appropriate statistical models to data and interpret the corresponding results.use R to fit generalised linear models to data.
 An Introduction to Generalized Linear Models. Dobson and Barnett. Chapman and Hall.
 Graduate Attributes and Skills Not entered Special Arrangements These Postgraduate Taught courses may be taken by Undergraduate students *without* requiring a concession (NB. students on Postgraduate taught programmes are given priority in the allocation of places). For all other Postgraduate Taught courses the student and/or Personal Tutor must seek a concession. Keywords GRM,Regression,Statistics
 Course organiser Dr Bruce Worton Tel: (0131 6)50 4884 Email: Bruce.Worton@ed.ac.uk Course secretary Mrs Frances Reid Tel: (0131 6)50 4883 Email: f.c.reid@ed.ac.uk
 Navigation Help & Information Home Introduction Glossary Search DPTs and Courses Regulations Regulations Degree Programmes Introduction Browse DPTs Courses Introduction Humanities and Social Science Science and Engineering Medicine and Veterinary Medicine Other Information Combined Course Timetable Prospectuses Important Information