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: | 355B Hardin Center |
| Phone: | 472-2903 |
| Text Book: | Plane Answers to
Complex Questions: The Theory of Linear Models,
Ronald Christensen |
| Syllabus: | Course Syllabus
To view the Course Syllabus click on Course Syllabus . If Acrobat Reader
is not installed on your computer click on  . |
| Prerequisites: |
- Matrix Algebra
- Distributions
- Experimental Design
- Basics of Theory and Inference
|
| Homework: | Approximately once a
week
- 20% will be deducted for each day late.
|
| Exams: | Two exams, will be announced at least one week in
advance |
| Final Exam: | 7:30 to 9:30
Thursday, May 5
- Revise travel plans accordingly.
|
| Check Grades: | Blackboard Course Info |
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