Undergraduate Course: Statistical Models (Year 2) (MATH08011)
Course Outline
| School |
School of Mathematics |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 8 (Year 2 Undergraduate) |
Credits |
10 |
| Home subject area |
Mathematics |
Other subject area |
Specialist Mathematics & Statistics (Year 2) |
| Course website |
http://student.maths.ed.ac.uk
|
Taught in Gaelic? |
No |
| Course description |
Core second year course for Honours Degrees including Statistics.
Syllabus summary: Modelling of data; one-way analysis of variance; simple linear regression; parametric families of distributions; likelihood; maximum likelihood estimation; likelihood ratio tests and intervals; joint, marginal and conditional distributions. |
Information for Visiting Students
| Pre-requisites |
None |
| Displayed in Visiting Students Prospectus? |
Yes |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: 0 |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Lecture | | 1-11 | | 14:00 - 14:50 | | | | | King's Buildings | Lecture | | 1-11 | | | | | 14:00 - 14:50 |
| First Class |
First class information not currently available |
| Additional information |
Tutorials: one of Th 1500-1550, 1610-1700, Fr 1000-1050, 1110-1200 |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
Stationery Requirements |
Comments |
| Main Exam Diet S2 (April/May) | | 2:00 | 2 x graph. No YAF. | c/w U01615. To be held in JCMB (bulky statistical tables) | | Resit Exam Diet (August) | | 2:00 | None. No YAF. | |
Summary of Intended Learning Outcomes
1. Facility with bivariate, marginal and conditional distributions.
2. Ability to fit, criticise and predict from simple linear regression and one-way classification models.
3. Ability to derive likelihood functions with one or two parameters, to plot one-parameter likelihoods, find their maxima and their curvature at maxima.
4. Ability to interpret test statistics and significance probabilities.
5. Ability to derive inferential methods using general procedures such as likelihood ratios and maximum likelihood.
6. Facility with Minitab commands for methods of inference developed in the course.
|
Assessment Information
Coursework: 15%; Degree Examination: 85%.
|
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 |
StM |
Contacts
| Course organiser |
Mr Michael Prentice
Tel: (0131 6)50 4876
Email: M.Prentice@ed.ac.uk |
Course secretary |
Mr Martin Delaney
Tel: (0131 6)50 6427
Email: Martin.Delaney@ed.ac.uk |
|
copyright 2011 The University of Edinburgh -
31 January 2011 7:58 am
|
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