Detailed Course Information |
Spring 2023
Mar 21, 2023 |
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| MATH 627 - Generalized Linear Models with Applications |
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Methods needed to analyze non-normal data. Topics include exponential family of distributions, an overview of generalized linear models. Models for continuous, discrete, and count data.
Prerequisite or parallel: MATH 621 or DSCI 602 or permission of the department chairperson.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture, Online Fixed Times (Synch), Online (Asynchronous), Immersive Learning, Study Abroad, Societal Issue/Global Chal Mathematical Sciences Department Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: Graduate level MATH 621 Minimum Grade of D- or Graduate level DSCI 602 Minimum Grade of D- |
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