Biostatistics 231 -- Statistical Inference I
Course Description: Exponential families, sufficiency, ancillarity, completeness, method of moments, maximum likelihood, unbiased estimation, Rao-Blackwell and Lehmann-Scheffe theorems, information inequality, Neyman-Pearson theory, likelihood ratio, score and Wald tests, uniformly and locally most powerful tests, asymptotic relative efficiency.

This class is at the Graduate level
Instructor: Yi Li (Public Health)
Prerequisites: Biostatistics 230 or signature of instructor required.

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