620-372 Inference & Applied Statistics

Credit Points

Coordinator

Prerequisites

620-202 and one of 620-112, 620-122, 620-200, 620-211.

Semester

Contact

Subject Description

This subject looks into the fundamental concepts of statistical methods and introduces a range of methodologies used in statistical inference. Students will develop an understanding of the principles of statistical inference and will learn to use a number of important specific techniques in applied statistics.

Topics covered: the principles of estimation and hypothesis testing; consideration of the range of methods of inference including distribution-free methods, Bayesian methods and bootstrap techniques, and robust inference; and a selection from: generalised linear models, logistic regression, log-linear models, survival analysis and multivariate analysis.

Assessment

A 3-hour end of semester written examination; up to 50 pages of assignments may be assessed.