Math 427/527: Multivariate Statistical Methods


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This course is designed to help you learn the tools needed to carry out the statistical regression analysis in a variety of applications. Regression analysis consists of a collection of techniques used to explore and understand the relationship among variables. The emphasis is on graphical exploration, model building, estimation, inference, diagnostics and model checking.

Grading Policy

Your course grade is a weighted average of the following performance scores: homework (30%), midterm exam (40%), project (30%)

Exam

There will be one midterm exam during the term. It is scheduled for Friday, May 14 . You may bring one "formula sheet," i.e., one 8.5 by 11 sheet of paper with whatever formulas and notes you would find useful.

Homework

Homework is due WEEKLY in class on Wednesdays . No homework will be accepted late. You may drop ONE homework. If a situation develops in which you need more than one homework dropped, such as a prolonged illness, you should notify me as soon as possible verbally and in writing. You may turn in homework early, of course, if you know in advance that you will have to miss class.


Project

The project is due Wednesday, June 2 .

Lecture Notes

Please print out a copy of my lecture notes and bring it to class so that you don't need to waste time on taking notes. It is also assumed that you already read text before each class.

Attendance

Attendance is mandatory. You are responsible for all the announcements, changes, course information, and topics that I cover in class.
  • If you cannot make my office hours, please feel free to stop by my office anytime or use e-mail to ask questions.
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