Mathematical Statistics II
Estimation: (Sect. 11.1-11.5) January 13-22 Sufficient statistics, completeness, unbiasedness, exponential family. Estimation: (Sect. 12.1-12.5, 12.9-12.10) January 28-February 12 Method of moments, maximum likelihood principle, mean squared error, Cramer-Rao lower bound, best unbiased estimators, consistency, asymptotic efficiency. EXAM 1 February 17 Testing Hypotheses: (Sect. 13.1-13.7) February 19-March 24* Most powerful tests and the Neyman-Pearson Theorem, UMP tests, monotone likelihood ratio, likelihood ratio tests, inference for means of normal distributions. EXAM 2 March 26 Confidence Intervals: (Sect. 15.1-15.4) March 31-April 7 Pivotal quantities, test inversion, confidence regions. Sequential Probability Ratio Tests: (Notes** and Ch. 14) April 9-April 16 Bayesian Methods: (Sect. 12.6-12.7, 13.9) April 23-30 Prior and posterior distributions, loss functions, Bayes estimators, Bayesian intervals and tests. FINAL EXAM Saturday, May 3, 2:00 pm * Spring Break is March 10-14, 2003. **Notes on Sequential Analysis will be handed out.
Attendance and Preparation: All students are expected to attend all classes, be prepared by reading in advance the material to be discussed in class, and to participate in class discussions.
Grading:
The final semester grade will be determined by the weighting:
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