STAT 528 Mathematical Statistics for Fall 2009
- Instructor: Jun Xie
- Email: junxie@stat.purdue.edu
- Mailbox in HAAS 164 (All homeworks are due on Thursday by
5:00pm).
- Course Schedule TTH
3:00pm - 4:15pm, REC 123.
- Office Hours: Wed. 2:30-3:30pm and Thu. 1:00-2:00pm,
HAAS 102.
- Prerequisite: STAT 519 is a prerequisite.
The course is supposed to be taken by Ph.D. students of the
department.
Ph.D. students from outside of the department may also take it if
they have the right backgrounds.
- Text Books: Mathematical Statistics: Basic Ideas and
Selected Topics, Vol. 1, 2nd Edition,
by Bickel and Doksum, Prentice Hall 2001.
- Syllabus: No probability will be taught.
- Review of probability theory.
Apprendix A.1, A.8, B.2, A.13 in the text.
- Statistical models:
- Data, models, statistics, parameters;
- Decision theory (Bayes and minimax criteria, risk functions);
- Bayesian models, conjugate prior distributions;
- Prediction;
- Sufficiency;
- Exponential families.
Ch 1 in the text.
- Estimation methods:
- Method of Moments,
- Least squares,
- MLE,
- EM algorithm.
Ch2.1-2.3, 2.4.4.
- UMVU and information inequality.
Ch3.4.
- Testing:
- Neyman-Pearson Lemma,
- UMP tests and monotone likelihood ratio models,
- Likelihood ratio procedures.
Ch4.1-4.3, Ch4.9.
- Asymptotic approximations:
- Consistency,
- Delta method,
- Asymptotic normality of the MLE.
Ch5.1-5.3.
- Grades: The grade is the cumulation of homework (20%), one
midterm (30%), and the final exam (50%).
- Homework assignment
All homeworks
are due on Thursday by 5:00pm.
No late homework will be accepted.
The lowest homework will be dropped.