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STAT319 is a course in Generalised Linear Models (GLM), suited to anyone with an interest in analysing data. In this course we introduce the components of GLM and other advanced data analysis techniques. We use the free-ware package R. R is becoming the preferred computer package for many statisticians. In this course we will show you how to use the package, enter, manipulate and analyse data in R.
STAT319 and STAT446 are courses in Generalised Linear Models (GLM), suited to anyone with an interest in analysing data. In these courses we introduce you to the components of GLM and other advanced data analysis techniques. We cover analysis of data from continuous distributions, models for binomial response data, models for count response data and models for multinomial data. R is the free-ware equivalent to S Plus, and is becoming the preferred computer package for many statisticians. In these courses we will show you how to use the package, enter, manipulate and analyze data in R. suited to anyone with an interest in analysing data.
The Courses will: introduce generalised linear models introduce advanced data analysis techniques including mixed effects models, repeated measures and additive models introduce the use of the statistics computer package R give you experience in writing scientific and technical reportsYou will be able to: describe and conduct appropriate statistical modeling techniques for almost any dataset be able to interpret the model results in such a way that a non-user of statistics can understand use R competently write a scientific and technical report
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
30 points from STAT200-299 or Head of School approval
Jennifer Brown (Mathematics and Statistics)
The course is assessed by four assignments, each worth 25% (in total 100%). There is no final exam.Assignments give you practice in analysing data and presenting results in a written report. You will be expected to use R for analysis.The assignments will involve time and effort, but are an opportunity for you to learn not only statistical modeling techniques, but to develop your writing skills. We discuss how to write a report during lectures, and provide considerable support especially for students who have not had the chance to develop their scientific writing skills.
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 a one-day restricted loan in the Physical Science Library.
Domestic fee $622.00
International fee $3,200.00
* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.
For further information see
Mathematics and Statistics.