Undergraduate Course: Theory of Statistical Inference (MATH10028)
|School||School of Mathematics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 10 (Year 4 Undergraduate)
||Availability||Available to all students
|Summary||Course for final year students in Honours programmes in Statistics.
Parametric families and likelihood. Sufficiency, Neyman factorisation, minimal sufficiency, joint sufficiency. Elements of statistical decision theory. Estimation, minimum variance unbiased estimators, Cramer-Rao lower bound, Bayes and minimax estimators. Hypothesis testing, pure significance tests, optimal tests, power, Neyman-Pearson lemma, uniformly most powerful tests. Confidence intervals, relationship to hypothesis testing. Selected topics in modern statistics.
Information for Visiting Students
|Pre-requisites||Visiting students are advised to check that they have studied the material covered in the syllabus of each pre-requisite course 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 S2 (April/May)||Theory of Statistical Inference (MATH10028)||2:00|
On completion of this course, the student will be able to:
- Knowledge of the theory of statistical inference.
- Ability to prove and apply results concerning statistical inference.
- Ability to develop theoretical arguments.
- Familiarity with dealing with multiparameter problems.
|Course organiser||Dr Jonathan Gair
Tel: (0131 6)50 4897
|Course secretary||Mrs Alison Fairgrieve
Tel: (0131 6)50 5045