Undergraduate Course: Statistical Methodology (MATH10095)
|School||School of Mathematics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 10 (Year 3 Undergraduate)
||Availability||Available to all students
|Summary||This course provides many of the underlying concepts and theory for likelihood based statistical analyses.
Topics to be covered include :
- likelihood function;
- maximum likelihood estimation;
- Fisher's method of scoring;
- likelihood ratio tests; and
- normal linear models.
Information for Visiting Students
|Pre-requisites||Visiting students are advised to check that they have studied the material covered in the syllabus of any pre-requisite course listed above before enrolling.
|High Demand Course?
Course Delivery Information
|Academic year 2017/18, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Coursework 5%; Examination 95%
||Hours & Minutes
|Main Exam Diet S1 (December)||Statistical Methodology (MATH10095)||2:00|
On completion of this course, the student will be able to:
- apply likelihood-based methods to derive estimates, confidence intervals and conduct hypothesis tests.
- fit normal linear models to data, understand the assumptions of the model and have the ability to recognise special cases.
- analyse data and interpret results of statistical analyses.
- conduct analyses using R.
|Core statistics. Simon Wood. Cambridge University Press.|
|Graduate Attributes and Skills
|Course organiser||Dr Miguel Bras De Carvalho
Tel: (0131 6)50 4877
|Course secretary||Ms Hannah Burley
Tel: (0131 6)50 4885