Handbook 1996 : Faculty of Science (Volume 4 page 237)
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Note: Special requirement: An electronic calculator of an approved type (refer to Department of Statistics Office).
Credit points: 15.0
Coordinator: Dr G Grunwald
Prerequisite: Statistics 619-201
Contact: 39 lectures (three a week)
Timetable: First semester
Objectives:
Students completing this subject should:Comprehend:
- the basic theory of the General Linear Model;
- how linear models are used to analyse data.
- Have developed the skills:
- to examine data for common structures and patterns;
- to formulate linear models in specific practical situations -- including univariate normal responses with a combination of explanatory factors;
- to carry out the necessary computations on the computer;
- to check the assumptions of the model in specific situations;
- to express the results of modelling in scientifically useful terms.
Appreciate:
- the importance of the General Linear Model in analysing a variety of data and giving useful information about scientific subject matter.
Content:
General least squares theory of estimation and hypothesis testing; application to one and two-way classification; factorial experiments; analysis of covariance; multiple regression; polynomial regression; non-linear regression; discriminant analysis; principal components; use of statistical computer packages; nested and crossed factors; fixed and random effects; multiple and orthogonal contrasts.
Assessment:
A 3-hour written examination; up to 50 pages of assignments may be assessed.
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Handbook 1996 : Faculty of Science (Volume 4 page 237)
Status: Official 1996 Date created: Oct 9 1995 Last modified: Oct 9 1995 Authorised by: Academic Registrar Email enquiries: Course_Information@registrar.unimelb.edu.au
Maintained by: Dept. of Statistics, Faculty of Science.
Copyright © University of Melbourne 1995,1996.