STAT446-12S1 (C)
Generalised Linear Models
This is a semester one course.
Message of the Day
Posted by Jennifer Brown on February 24 2012, 3:35 pm
Course Information
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.
Learning outcomes
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 reports
You 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
Enquiries
Prof. Jennifer Brown
Room 400 Erskine Building
Phone Extension 6696
Homepage