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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2020-21 |
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2019-20 |
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