Statistics 545: "GENERALIZED
LINEAR MODELS & CATEGORICAL DATA ANALYSIS"
LAST UPDATE: 20 Nov 2017 at 15:45.
Time & Location: Mon., Wed., & Fri., 13:00-13:50 in
Required Texts: Categorical Data Analysis, 3rd edition,
by Alan Agresti; ISBN 978-0470463635
Instructor: Dennis D. Cox
course is devoted to the theory and methodology
of categorical data analysis with an introduction to Generalized Linear
Models. There will be analyses of real data sets using R.
We plan to cover Chapters 1-11 and 16 of the text, time permitting.
Prerequisites: Stat 410 or 615,
and 518-519, or permission of Instructor.
Office: 2095 Duncan Hall (DH)
phone: 6007 (longphone: 713-348-6007)
and by appointment.
Chunshan Liu (TA - grader)
Office hours: TBA.
50% Homework: Approximately weekly
homeworks of about 5 problems.
30% Midterm: One hour in class exam,
Fri. Nov. 17.
20% Term Project: due Wed. Dec. 14; the project proposal is due Fri. Oct. 20.
Website for the book
(Contains solutions, software, datasets, corrections, etc.)
Lesson: An example of overdispersion.
The original paper is here.
Lesson on the Multinomial Distribution
Notes On Asymptotic Tests
Analysis of Hair-Eye Color Contingency Table
ACE Analysis of Hair-Eye Color Table treating
both variables as nominal.
Goodness of fit testing for logistic
Final Exam from 2016 and
Solutions. You should try the exam before looking at the solutions.
Final Exam (Takehome: 90 minutes)
Example of a log-linear analysis of
a 4-way table
student with a disability requiring accommodations in this course is encouraged
to contact Dr. Cox after class or during office hours.
Additionally, students should contact Disability Support Services in the
Ley Student Center.
Send problems or suggestions to email@example.com