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Overview

Mathematics & Statistics (Sci) : Sampling distributions. Point estimation. Minimum variance unbiased estimators, sufficiency, and completeness. Confidence intervals. Hypothesis tests, Neyman-Pearson Lemma, uniformly most powerful tests. Likelihood ratio tests for normal samples. Asymptotic sampling distributions and inference.

Terms: Winter 2025

Instructors: Khalili, Abbas (Winter)

• Winter

• Prerequisite: MATH 356 or equivalent

• Restriction: Not open to students who have taken or are taking MATH 324