Postgraduate Course: Statistical Inference (MATH11129)
Course Outline
School | School of Mathematics |
College | College of Science and Engineering |
Course type | Standard |
Availability | Not available to visiting students |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 7.5 |
Home subject area | Mathematics |
Other subject area | None |
Course website |
None |
Taught in Gaelic? | No |
Course description | This course aims to provide postgraduate students with a broad knowledge of the principal areas of mathematical statistics and statistical methods widely used in actuarial science and finance. Students should have a good grounding in probability before commencement of this course. |
Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | Students MUST NOT also be taking
Statistical Methods (MATH11070)
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Other requirements | MSc Financial Mathematics students only. |
Additional Costs | None |
Course Delivery Information
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Delivery period: 2013/14 Semester 1, Not available to visiting students (SS1)
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Learn enabled: No |
Quota: None |
Web Timetable |
Web Timetable |
Course Start Date |
16/09/2013 |
Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
75
(
Lecture Hours 15,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
56 )
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Additional Notes |
Examination takes place at Heriot-Watt University.
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Breakdown of Assessment Methods (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
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No Exam Information |
Summary of Intended Learning Outcomes
On completion of this course the student should be able to:
- demonstrate knowledge of, and a critical understanding of, statistical methodologies (including the main concepts and methods of inference and modelling)
- understand and apply a range of statistical techniques based on the main theories and concepts which comprise the syllabus, including the central limit theorem
- determine properties of estimators: efficiency, Cramer-Rao lower bound, (approx.) large sample distributions of MLEs
- perform inference on parameter estimates, including constructing confidence intervals and testing hypotheses on the values of parameters
- fit a linear regression model and critically evaluate other proposed models; test hypotheses concerning correlation coefficients
- show an awareness of how different statistical models and techniques can be applied to financial problems
- communicate meaningfully and productively with others (including practitioners and professionals in the financial services industry and elsewhere) on matters relating to and/or requiring the use of statistical methods
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Assessment Information
See 'Breakdown of Assessment Methods' and 'Additional Notes', above.
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Special Arrangements
MSc Financial Mathematics students only. |
Additional Information
Academic description |
Not entered |
Syllabus |
- Sampling distributions, central limit theorem, t and F distributions
- Estimation - properties of estimators, methods of constructing estimators
- Interval estimation
- Hypothesis testing
- Linear relationships - regression and correlation |
Transferable skills |
Not entered |
Reading list |
Not entered |
Study Abroad |
Not Applicable. |
Study Pattern |
Not entered |
Keywords | StIn |
Contacts
Course organiser | Dr Sotirios Sabanis
Tel: (0131 6)50 5084
Email: S.Sabanis@ed.ac.uk |
Course secretary | Mrs Kathryn Mcphail
Tel: (0131 6)50 4885
Email: k.mcphail@ed.ac.uk |
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© Copyright 2013 The University of Edinburgh - 10 October 2013 4:53 am
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