620-372 Inference and Applied Statistics

Note

Students may only gain credit for one of 620-372 and the 1997 Handbook subjects 619-320, 619-340.

Credit Points

Coordinator

Prerequisites

620-202 (1997 Handbook 619-202) and one of 620-112, 620-122, 620-200, 620-211 (1997 Handbook one of 618-112, 618-122, 618-200, 618-211).

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: generalized 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.