MATH 357 — Honours Statistics
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.
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- Difficulty: 4.00 out of 5
- Credits: 3
- Faculty: Faculty of Science
- Department: Mathematics and Statistics
- Prerequisite: MATH 356 or equivalent