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Rsch Sch of Finance, Actuarial Studies & App Stats · ANU College of Business and Economics
This course is intended to introduce students to generalised linear modelling methods, with emphasis on, but not limited to, common methods for analysing 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. Additional topics may include Bayesian analysis for generalized linear models and generalized mixed effect models.
The research-based assessment will consist of assignments.
Learning outcomes 1, 2, 3
The other assessment may include but is not restricted to: exams, quizzes, presentations and other assessments as appropriate.
Learning outcomes 1, 2, 3
Students are expected to commit 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time. Other Information Offerings of this course outside of Semester 1 and Semester 2 are available only to students enrolled in MADA.
Information about the prescribed textbook will be available via the Class Summary.