An introduction to the theory of statistical inference. Topics to include exponential families and general linear models, likelihood, sufficiency, ancillarity, interval and point estimation, asymptotic approximations. Optional topics as time allows, may include Bayesian methods, Robustness, resampling techniques. This course is intended primarily for MSc students. Prerequisite: STAT 471 or consent of Department.
Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE A1
(51092) |
25 |
2024-09-03 - 2024-12-09 (MWF)
11:00 - 11:50
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