STA413: Estimation and Testing

University of Toronto Mississauga, Fall 2008

http://www.fisher.utstat.toronto.edu/~brunner/413f08

Lecture: Monday 1:10-2:00 in CC2150, Wednesday 1:10-3:00 in CC 2130

Tutorials: Friday 12:10-1:00 in NE 228. The first tutorial is Sept. 19th.

Text: Introduction to Mathematical Statistics  (6th Edition) by Hogg, McKean and Craig.

Topics: Unbiasedness, consistency, Monte Carlo methods, maximum likelihood, sufficiency, confidence intervals, theory of hypothesis testing, comparison of Bayesian and classical methods. Applications of large-sample theory will be emphasized throughout the course.

Prerequisite: STA261.

Grading: There will be three term tests and a final exam.

Homework will be assigned, but not handed in. Test and exam questions will be based on the ideas and techniques needed to do the homework. If you can do the homework assignments, you will do well on the tests and the final exam.

Policy for missed work: No makeup tests will be given. If you miss a test and have a valid excuse, your mark on the final exam will be substituted for the missing score.

Plagiarism: It is academic dishonesty to present someone else's work as your own, or to allow your work to be copied for this purpose.

If this is not clear enough, the latest version of the student handout "How not to Plagiarize" is available at http://www.utoronto.ca/writing/plagsep.html The Academic Regulations of the University are outlined in the Code of Behaviour on Academic matters, which can be found in the UTM Calendar or on the web at http://www.utm.utoronto.ca/regcal/WEBGEN121.html.