*****COURSES ARE SUBJECT TO CHANGE*****
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. Prerequisite(s): course 205A, 205B, or 256. Enrollment restricted to graduate students.
5 Credits
Year | Fall | Winter | Spring | Summer |
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2018-19 |
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2017-18 |
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2016-17 |
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2015-16 |
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2013-14 |
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2011-12 |
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2009-10 |
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2008-09 |
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2007-08 |
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2004-05 |
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2003-04 |
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