Stat 970: Linear Models

Objective
The objective of this course is to extend our understanding of the standard linear model based approaches. We will make extensive use of matrix algebra. You will therefore need to become comfortable working with matrices. We will also examine the theory behind these methods. You will therefore need to become comfortable with the distributions of linear and quadratic forms. Because this course does not exist in a vacuum, you will need to be able to relate the theory to the application and the application to the theory.
Course Info
Instructor:  Steve Kachman 
Office:  354B Hardin Center 
Phone:  4727302 
Office Hours:  MWF 10:0011:00 and by appointment 
Text Book:  A First Course in Linear Model Theory, Nalini Ravishanker and Dipak K. Dey 
Website with corrections http://merlot.stat.uconn.edu/~nalini/fcilm.html  
Syllabus:  Course Syllabus
To view the Course Syllabus click on Course Syllabus . If Acrobat Reader is not installed on your computer click on . 
Prerequisites: 

Homework:  Approximately once a
week

Exams:  Two exams, will be announced at least one week in advance 
Final Exam:  10:00 to 12 noon, Wednesday, May 3

Check Grades:  Blackboard Course Info 