Postgraduate Course: Statistical Modelling (MATH11039)
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 | 5 |
| Home subject area | Mathematics |
Other subject area | Operational Research |
| Course website |
http://student.maths.ed.ac.uk |
Taught in Gaelic? | No |
| Course description | Simple Multiple Regression: Polynomial, qualitative, and interaction variables; heteroscedacity and weighted least squares; hypothesis tests concerning variables and groups of variables; stepwise regression and model selection. Forecasting Regression: Trend variables, seasonal binary variables, leading indicator variables, lagged dependent variables, and first order serially correlated errors; ex-sample forecasting; Durbin-Watson and related tests. Qualitative Dependent Variables: Discriminant analysis and logistic regression; application to credit scoring; hypothesis tests, confusion matrices, ROC curves, hold-out samples. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
|
| Delivery period: 2014/15 Block 4 (Sem 2), Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
|
Web Timetable |
Web Timetable |
| Course Start Date |
23/02/2015 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
50
(
Lecture Hours 10,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 1,
Directed Learning and Independent Learning Hours
37 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | MSc Statistical Modelling | 2:00 | |
Summary of Intended Learning Outcomes
| Ability to estimate models using SPSS and EXCEL and to interpret output. Versatility in devising and assessing model structures. Knowledge of relationships adequate to calculate statistics and model outcomes. |
Assessment Information
| See 'Breakdown of Assessment Methods' and 'Additional Notes', above. |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | STAM |
Contacts
| Course organiser | Dr Julian Hall
Tel: (0131 6)50 5075
Email: |
Course secretary | Mrs Frances Reid
Tel: (0131 6)50 4883
Email: |
|
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|
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