Statistical Methodology (MATH10095)
Normal Year Taken
Delivery Session Year
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.
This course provides many of the underlying concepts and theory for Likelihood based statistical analyses, and is required for further Year 3-5 courses in Statistics.
Topics to be covered include: - likelihood function - maximum likelihood estimation - likelihood ratio tests - Bayes theorem and posterior distribution - Iterative estimation of the MLE (Fisher's method of scoring) - normal linear models
Written Exam 80%, Coursework 20%, Practical Exam 0%
Additional Assessment Information
Coursework 20%; Examination 80%
All course information obtained from this visiting student course finder should be regarded as provisional. We cannot guarantee that places will be available for any particular course. For more information, please see the visiting student disclaimer: