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 |
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| 2023-24 |
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| 2022-23 |
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| 2021-22 |
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| 2020-21 |
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