Likelihood (Ord) (U01641)

? Credit Points : 10 ? SCQF Level : 9 ? Acronym : MAT-3-LikO

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 : MAT-2-FoC, MAT-2-SVC, MAT-2-LiA, MAT-2-MAM, MAT-2-Prb, MAT-2-SMe, MAT-2-StM

? Prohibited combinations : MAT-3-Lik

Subject Areas

Home subject area

Specialist Mathematics & Statistics (Ordinary), (School of Mathematics, Schedule P)

Delivery Information

? Normal year taken : 3rd year

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 11 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
08/01/2008	09:00	10:00	Lecture Room 5215, JCMB	KB

All of the following classes

Type	Day	Start	End	Area
Lecture	Tuesday	09:00	09:50	KB
Lecture	Friday	09:00	09:50	KB

Summary of Intended Learning Outcomes

The following are the learning objectives for the Honours version, MAT-3-Lik; for this (Ordinary) version there is more emphasis on the technical, rather than conceptual elements, which will be reflected by a different examination.

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.