Stat 424: Analysis of Variance

Instructor:

Feng Liang : liangf AT uiuc DOT edu
Office: 116A Illini Hall
Office hours: Monday 3:00-4:30PM, and by appointment

Lecture:

MWF, 2:00-2:50PM, Room 2 Illini Hall
The first lecture is on Wednesday, January 21, 2009.

Course Description:

The course covers the theory of linear models, analysis of variance, fixed effect, random effect and mixed effect models. Mathematical and interpretational aspects of the models will be covered along with the theory behind statistical estimates, confidence intervals and multiple hypothesis tests. There will be some data analysis, but Stat 425 covers data analysis in greater depth. Stat 424 requires familiarity with linear algebra and calculus based statistics at the level of Stat 410.

Text:

1) Lecture notes by Professor John Marden.
2) Recommended textbook: Plane Answers to Complex Questions, 3rd Edition, by Ronald Christensen (Springer).
3) A tentative list of topics can be found here.

Teaching Assistant:

Jianfeng Xu, jxu9 AT uiuc DOT edu
Office hours: Tuesday, 1:30-2:30PM, Room 104 Illini Hall

Homework Assignments:

There are about 8 or 9 homework assignments. The lowest homework score will be dropped. The assignments are due in class, or can be put in my mail box (in 101 Illini Hall) by 5PM, on the due day. Late assignments will not be accepted.

Exams:

Exam 1, Friday, February 27
Exam 2, Friday, April 10
Final Exam, 1:30-4:30PM, Friday, May 8

Grade Percentages:

20% each for Exam 1 and Exam 2, 30% Final Exam, 30% Homework.

Computing:

Some assignments might involve using a statistical package such as R or SAS. These packages are loaded in the SCIL Lab 113 Illini Hall. Please note that Stat 100 students have priority in the afternoon. R is a statistical package based on the S language, and may be obtained for free from http://cran.us.r-project.org. SAS is a commercial package. Student licenses are available.