STAT 850: Theory and Application of Linear Models II


Professor Brian Yandell
Lectures: 1207 CSSC, 1-2:15 MW
Office and Phone: 4367 CSSC, 262-1157
Office Hours: 2:15-3:30 MW or by appointment
Course Homepage:
Class email:

Teaching Assistant:

Jun Yan
Discussion: Section311: 1207 CSSC, 1-2:15pm F
Office and Phone: 4252 CSSC, 262-7478
Office Hours: 2-3 TR (tentative)

Course Syllabus:

Course Objective

Requirement and Schedule:

Weekly Schedule

Supplemental Materials:

Course Data Repository: ~st850-1/data/
Practical Data Analysis (PDA) Book Information and Your Comment for PDA
PDA Data Sets
Case Studies for the SSC 2000 Annual Meeting in Ottawa

Introduction to Computing:

R/S/Splus Information
SAS Information

Course Objective

Develop skills for data analysis of designed experiments.  Topics emphasized  include  design
and treatment structures; theory of inference for analysis of variance; one-way and multi-way
layouts; analysis of covariance; fixed, random and mixed effects models; split-plot, nested
designs and repeated measures designs. Approach combines a grounding in theory with applica-
tion to many practical settings.


This course has a large homework load, with heavy use of computers.  Students are expected to
remain current on reading. One midterm and one final will be given as take-home exams along
the lines of the masters exam.


Half the grade (50%) is based on homework, the other half split between the midterm (25%) and
the final (25%). Improvement over the semester is viewed favorably in grading.


Stat 849 or consent of instructor.  Students are  expected to  be familiar with standard dis-
tributions (normal, t, chi-square, F) and to have a working knowledge of the departmental
computing system, including use of a statistical package such as Minitab, or ideally SAS and

Last modified: Mon Jul 20 15:55:08 1998 by Brian Yandell (