620-371 Linear Models

Note

Students may only gain credit for one of 620-371, 619-330 (1997 Handbook).

Credit Points

Coordinator

Prerequisites

One of 620-202 (1997 Handbook 619-202) or 620-270 (1997 Handbook 619-200).

Semester

Contact

Subject Description

This subject introduces the basic theory of the General Linear Model and explains how linear models are used to analyse data. Students should develop the ability to examine data for common structures and patterns and to formulate linear models in specific practical situations, including univariate normal responses with a combination of explanatory factors. They learn to carry out the necessary computations on the computer, check the assumptions of the model in specific situations and express the results of modelling in scientifically useful terms. This subject demonstrates the importance of the General Linear Model in analysing a variety of data and giving useful information about scientific subject matter.

Topics covered: 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 end of semester written examination; up to 50 pages of assignments may be assessed.