Mathematical Statistics
Text: The lectures will not follow a text. I can make a list of relevant books in the library - there are many.
Course structure: There will be 4 hours per week of lectures, assignments and a final exam.
Web materials: In the frame at the left there are: Course notes in either postscript or pdf format; Course slides in either postscript or pdf format; and html versions of the lecture notes. The assignments are on the web. Sometimes I may produce solution sets. WARNING: As of Jan 5, 2001 slides for pages 1 to 40 only have been edited. The HTML versions of sections labelled outline, Probability Theory, Distribution Theory and Independence and Conditioning are edited but the rest aren't.
Computing requirements: Students will be required to do graphing and programming in S and possibly Maple. THERE ARE NO JOBS FOR STATISTICIANS WHO CAN'T DO THE COMPUTING.
Grading: Assignments 60%, and Final 40%.
Privacy Policy: The Math and Stat department has a policy on privacy under which students who desire so may have their homework returned in some private way; if you are such a student you should speak to me immediately.
Assignments: The assignments in this course are hard and important. Many of the problems have a point -- you are supposed to learn about regularity conditions for theorems or about the scope of some theory or about what the theory does not say. I hope you will try to think about why I ask the questions I ask.