Statistics | Categorical Data Analysis
S637 | 26377 | Stanley Wasserman


Prerequisites: Two statistics courses at the graduate level, or
consent of instructor

Description: The analysis of cross-classified categorical data.
Loglinear models; regression models in which the response variable is
binary, ordinal, nominal, or discrete. Logit, probit, multinomial
response (logit)  models; logistic and Poisson regression.