STAT209: Generalized Linear Models
Theory, methods, and applications of generalized linear statistical models; review of linear models; binomial models for binary responses (including logistical regression and probit models); log-linear models for categorical data analysis; and Poisson models for count data. Case studies drawn from social, engineering, and life sciences.5 credits
Year | Fall | Winter | Spring | Summer |
---|---|---|---|---|
2023-24 |
|
|||
2022-23 |
|
|||
2021-22 |
|
|||
2020-21 |
|
While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.