Spring 2020 - STAT 851 G300
Generalized Linear Models and Discrete Data Analysis (4)
Class Number: 9179
Delivery Method: In Person
The theory and application of statistical methodology for analyzing non-normal responses. Special emphasis on contingency tables, logistic regression, and log-linear models. Other topics can include mixed-effects models and models for overdispersed data.
1. Analysis of contingency tables
2. Generalized linear models (GLMs)
a. The exponential family
b. Link functions
c. Relationship to linear models
d. Iterated reweighted least-squares estimation
3. Models for overdispersed data
b. Introduction to estimating functions
4. Models for multinomial data
a. Log-linear models
b. Ordinal responses
- Assignments 40%
- Midterm 40%
- Final Project 20%
Above grading is subject to change.
Categorical Data Analysis, 3rd ed. Author: Alan Agresti. Publisher: Wiley
Generalized Linear Models, 2nd ed. Authors: McCullagh and Nelder. Publisher: CRC Press
An Introduction to Generalized Linear Models, 3rd ed. Authors: Dobson and Barnett. Publisher: CRC Press
Graduate Studies Notes:
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