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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Likelihood (MATH10004)

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 10 (Year 3 Undergraduate) Credits 10
Home subject area Mathematics Other subject area Specialist Mathematics & Statistics (Honours)
Course website https://info.maths.ed.ac.uk/teaching.html Taught in Gaelic? No
Course description Core course for Honours Degrees involving Statistics; optional course for Honours degrees involving Mathematics. Syllabus summary: Likelihood function and exponential family. Likelihood based inference, score, Wald and likelihood ratio tests, and related confidence regions. Maximum likelihood, iterative estimation and Fisher's method of scoring. Generalized linear models, estimation, analysis of deviance, residuals, log linear and logistic linear models.
Entry Requirements
Pre-requisites Students MUST have passed: Foundations of Calculus (MATH08005) AND Several Variable Calculus (MATH08006) AND Linear Algebra (MATH08007) AND Methods of Applied Mathematics (MATH08035) AND Probability (Year 2) (MATH08008) AND Statistics (Year 2) (MATH08051)
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Statistics (Year 3) (MATH08052)
Other requirements None
Additional Costs None
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:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
King's BuildingsLecture1-11 09:00 - 09:50
King's BuildingsLecture1-11 09:00 - 09:50
First Class Week 1, Tuesday, 09:00 - 09:50, Zone: King's Buildings. JCMB, room 5326
Exam Information
Exam Diet Paper Name Hours:Minutes Stationery Requirements Comments
Main Exam Diet S2 (April/May)2:0016 sides. No YAFc/w MATH09008
Resit Exam Diet (August)2:0016 sides. No YAFc/w MATH09008
Summary of Intended Learning Outcomes
1. Familiarity with likelihood based inference.
2. Ability to apply likelihood methods to derive estimates, confidence intervals and hypothesis tests.
3. Familiarity with examples of generalized linear models, including Poisson regression and logistic regression.
4. Ability to use S-PLUS for statistical modelling and data analysis.
5. Ability to analyse data and interpret results of statistical analyses.
Assessment Information
Examination only.
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 Lik
Contacts
Course organiser Dr Adri Olde-Daalhuis
Tel: (0131 6)50 5992
Email: A.OldeDaalhuis@ed.ac.uk
Course secretary Mrs Kathryn Mcphail
Tel: (0131 6)50 4885
Email: k.mcphail@ed.ac.uk
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copyright 2011 The University of Edinburgh - 31 January 2011 7:59 am