STATS 730 - Statistical Inference
Faculty
Science
Department
Statistics
Points:
15
Available Semesters:
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Course Components
Labs
Tutorials
Lectures
Exam
TBLs
Workshops
Description: Fundamentals of likelihood-based inference, including sufficiency, conditioning, likelihood principle, statistical paradoxes. Theory and practice of maximum likelihood. Examples covered may include survival analysis, GLM's, nonlinear models, random effects and empirical Bayes models, and quasi-likelihood.
Prerequisites / Restrictions
Prerequisite: STATS 310 or 732
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