This subject contains a 0 day Optional Residential School.
The linear model is all pervasive in the application of statistical techniques to the analysis of data. This fundamental method underpins many others such as nonlinear regression and methods for analysing non-normal data. This subject will give an overview of the linear model and its application in regression and basic experimental design and analysis for data based on independent observations.
No offerings have been identified for this subject in 2020.
HD/FL
One session
School of Information Studies
Overview of linear models and their applications in general; Review of basic linear algebra; Univariate linear model for independent data - underlying concepts and assumptions; Regression, observational data; Experimental design and analysis - fixed effects, random effects, mixed models and different error strata; Tests of assumptions; Software platforms - SPSS, GENSTAT, Splus; Multivariate linear model (introductory), multivariate regression (GLS), MANOVA.
This subject contains a 0 day Optional Residential School.
The information contained in the CSU Handbook was accurate at the date of publication: October 2020. The University reserves the right to vary the information at any time without notice.