Having successfully completed this module, you will be able to:
Standard univariate statistical models and their properties.
Theory of estimation and significance testing, and know when particular tests should be applied.
Bayesian inference methods for conjugate priors, prediction method and marginal likelihood.
Theory of linear statistical models.
Teaching and learning methods
36 Lectures and 12 Tutorials
Resources and reading list
Introduction to the Theory of Statistical Inference by Hannelore Liero and Silvelyn Zwanzig (CRC Press, 2012)
Probability and Statistics by MH DeGroot & MJ Schervish (Addison-Wesley, 2001)
Statistical Inference by G Casella & RL Berger (Duxbury, 1990)
||% contribution to final mark
|Coursework 6 pieces
||Marked weekly, coursework will be returned in the week after hand-in, for instant feedback.
Feedback for the final examination will be given in terms of an individual mark and a generic email detailing the general nature of student performance.
Referral Method: By examination
Costs associated with this course
Students are responsible for meeting the cost of essential
textbooks, and of producing such essays, assignments, laboratory
reports and dissertations as are required to fulfil the academic
requirements for each programme of study.
Please also ensure you read the section on additional costs in the
University’s Fees, Charges and Expenses Regulations in the University
Calendar available at
Course texts are provided by the library and there are no additional compulsory costs associated with the module.