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620-372 Inference & Applied Statistics | |
Credit Points | 12.5 |
HECS Band | 2 |
Coordinator | Associate Professor H Cohn |
Prerequisites | 620-202 and at least one of 620-112, 620-113, 620-122, 620-123, [98]620-130, [98]620-132, [99]620-142, 620-143, [99]620-200, 620-211. |
Semester | 2 (view timetable) |
Contact | 36 lectures (three per week) |
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. |
Search : Index : Faculty of Science : Mathematics and Statistics
Prev 620-371 Linear Models
Next 620-381 Computational Mathematics
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