STAT3015 Generalised Linear Modelling

Later Year Course

Offered By	Rsch Sch of Finance, Actuarial Studies & App Stats
Academic Career	Undergraduate
Course Subject	Statistics
Offered in	Second Semester, 2013 and Second Semester, 2014
Unit Value	6 units
Course Description	Course Description: This course is intended to introduce students to generalised linear modelling methods, with emphasis on, but not limited to, common methods for analyzing categorical data. Topics covered include a review of multiple linear regression and the analysis of variance, log-linear models for contingency tables, logistic regression for binary response data, Poisson regression, model selection and model checking, mixed effects models.
Learning Outcomes	Learning Outcomes: Understand the role of generalised linear modelling techniques (GLMs) in modern applied statistics and implement methodology. Understand the underlying assumptions for GLMs and perform diagnostic checks; appreciate potential problems. Perform statistical analysis using statistical software in addition to learning the underlying theory and methodologies.
Workload	Three contact hours per week.
Areas of Interest	Statistics
Requisite Statement	STAT2008 Regression Modelling
Incompatibility	STAT2009 Generalised Linear Modelling.
Majors/Specialisations	Marketing, Mathematical Modelling, and Statistics
Other Information	Please refer to Course Website
Science Group	C
Academic Contact	See: http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3015

The information published on the Study at ANU 2013 website applies to the 2013 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2012 website.