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Generalised Linear Models
STAT446 is a course in generalised linear models (glms), a very useful and frequently used class of models for practical data analysis. In this course you will earn about the components of glms and related advanced data analysis techniques. We will first review the analysis of data from continuous distributions and then extend this to models for binomial response data, models for count response data, and models for multinomial data (logistic regression, Poisson regression, and log-linear models). These models are then further extended to generalised linear mixed models (glmms), and to generalised additive models (gams). We will also consider data management and visualisation. In this course you will use R, a very widely used open-source statistical software environment. The course is suited to anyone with an interest in practical data analysis.For a full list of Honours courses, please refer to the School of Mathematics and Statistics Honours Booklet Mathematics and Statistics Honours Booklet
The course will:introduce generalised linear modelsintroduce advanced data analysis techniques including mixed effects models, repeated measures and additive modelsintroduce the use of the statistical open-source software Rgive you experience in writing scientific and technical reports.You will be able to:describe and conduct appropriate statistical modeling techniques for a wide range of datasetsinterpret model results in such a way that a non-user of statistics can understanduse R competentlywrite a scientific and technical report.
Subject to approval of the Head of School.
Students must attend one activity from each section.
Recommended Reading:Crawley, M.J. 2005. Statistics : an introduction using R. 327pp.Crawley, M.J. 2007. The R book. 942pp.Faraway, J.J. 2005. Linear models in R. 229pp.Faraway, J.J. 2006. Extending the linear models with R. 301pp.These are on High Demand in the EPS Library.
School of Mathematics and Statistics Postgraduate Handbook
General information for students
Domestic fee $1,000.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see
Mathematics and Statistics.