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, 2012 and Second Semester, 2013
Unit Value	6 units
Course Description	Objectives: This course is intended to introduce students to generalised linear modelling methods for both discrete and continuous data reponse. Review of multiple linear regression and the analysis of variance; use of transformations and weighting in linear models. Logistic regression for binary response data. Generalised linear models; estimation and inference using iteratively re-weighted least squares (IRLS). Poisson regression; loglinear models for contingency tables.
Learning Outcomes	To achieve an understanding of and facility in: Understand the role of generalised linear modelling techniques (GLMs) in modern applied statistics Appreciate the structural assumptions and diagnostics used in GLMs for both discrete and continuous responses A more detailed understanding of the statistical techniques, including an appreciation of the used of both fixed and random effects in mixed GLMs
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 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.