Biom 970: Linear Models

Home   Notes   Examples   Data   Homework

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:	104 D Miller Hall
Phone:	472-2903
Office Hours:	MWF 11:00-12:00 and by appointment
Text Book:	Linear Models, Searle
Syllabus:	Course Syllabus To view the Course Syllabus click on Course Syllabus . If Acrobat Reader is not installed on your computer click on .
Prerequisites:	Biometry 960 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:	10:00­Noon Friday, Dec. 17 Revise travel plans accordingly.

Support Material

• An Introduction to Linear Algebra
• Linear Algebra Web Notes
• Distribution Theory and Statistical Inference
  Web Notes based on Hogg, R.V. and Craig, A.T. Introduction to Mathematical Statistics, 5th edition, 1989, Macmillan.