Course co-ordinator(s): Dr Laila El Ghandour (Edinburgh), Dr Huei Ching Soo (Malaysia), Maheen Hasib (Dubai).
Aims:
This course aims to develop students’ abilities in understanding and solving practical statistical problems, and to teach them how to use appropriate models and techniques for analysing data especially in applications related to linear and generalised linear models.
Summary:
The course will consist of a mixture of lectures and practical work.
Lectures will focus on statistical modelling, including the selection of appropriate models and the analysis and interpretation of results. Exploratory and graphical techniques will be considered, as well as more formal statistical procedures. Both parametric procedures (e.g. linear and generalised linear models) and nonparametric methods will be discussed, as will modern robust techniques.
There will be considerable emphasis on examples, applications, and case studies, especially for continuous response variables. Computing facilities, especially R, will be used extensively.
Detailed Information
Course Description: Link to Official Course Descriptor.
Pre-requisite course(s): F78PA Probability and Statistics A & F78PB Probability and Statistics B .
Location: Edinburgh, Malaysia.
Semester: 2.
Reading list:
It is highly desirable that students should have good access to the following books:
- Garthwaite, P.H., Jolliffe, I.T. and Jones, B. (2002) Statistical Inference, 2nd edn. Prentice Hall.
- Faraway, J. Linear models with R (1st or later edition), Taylor & Francis.
- Faraway, J. (2006) Extending the Linear Model with R :Generalized Linear, Mixed Effects and Nonparametric Regression Models, Chapman & Hall/CRC.
- Weisberg, S. (2005) Applied Linear Regression, 3rd edn, Wiley/Interscience.
The following texts will be useful for occasional reference:
- Dobson, A.J. An Introduction to Generalized Linear Models (2nd or later edition), Taylor & Francis.
- Verzani, J. Using R for Introductory Statistics (1st or later edition), Taylor & Francis.
SCQF Level: 9.
Other Information
Help: If you have any problems or questions regarding the course, you are encouraged to contact the course leader.
Canvas: further information and course materials are available on Canvas