BIOST 3021 - ADVANCED STATISTICAL INFERENCE 1

Minimum Credits: 3
Maximum Credits: 3
This is the first course of the sequence that covers advanced topics in probability theory and statistical inference. This course introduces large sample theories, including basic modes of convergence in point estimation and distributions. It covers several point and interval estimation methods, including the Newton-Raphson and Expectation-Maximization algorithms, hypothesis tests, and their asymptotic properties, with particular attention to maximum likelihood estimation.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PLAN: BIOST-PHD; PREQ:(BIOST 2141 or BIOST 2039 or BIOST 2049 or BIOST 2142) and (BIOST 2044 or BIOST 3012)

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