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MT5761   Statistical Modelling

Academic year(s): 2018-2019

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 11

Semester: 1

Availability restrictions: Not automatically available to General Degree students

Planned timetable: Mon, Tues, Thur, Fri 3:00 - 4:00 (lectures), Tues, Thur 4:00 - 5:00 (practicals)

This applied statistics module covers the main aspects of linear models (LMs) and generalized linear models (GLMs). In each case the course describes model specification, various options for model selection, model assessment and tools for diagnosing model faults. Common modelling issues such as collinearity and residual correlation are also addressed, and as a consequence of the latter the Generalized Least squares (GLS) method is described. The GLM component has emphasis on models for count data and presence/absence data while GLMs for multinomial (sometimes called choice-based models) are also covered for nominal and ordinal response outcomes. The largest part of the course material is taught inside an environmental impact assessment case study with reality-based research objectives. Political and medical examples are used to illustrate the multinomial models.

Relationship to other modules

Pre-requisite(s): Undergraduates must have passed at least one of MT4113, MT4527, MT4528, MT4530, MT4531, MT4537, MT4539, MT4606, MT4608 MT4609, MT4614.

Anti-requisite(s): You cannot take this module if you take MT4607 or take MT5753

Learning and teaching methods and delivery

Weekly contact: 4 lectures (x 5 weeks), 2 practicals (x 5 weeks)

Scheduled learning hours: 30

Guided independent study hours: 117

Assessment pattern

As used by St Andrews: 2-hour Written Examination = 50%, Coursework = 50%

As defined by QAA
Written examinations : 50%
Practical examinations : 0%
Coursework: 50%

Re-assessment: 2-hour Written Examination = 100%


Module coordinator: Dr L A S Scott-Hayward
Module teaching staff: Dr V Popov