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Spring 2018
Apr 24, 2018
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MATH 627 - Generalized Linear Models with Applications
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: MATH 621 or permission of the department chairperson.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Mathematical Sciences Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

Prerequisites:
Graduate level MATH 621 Minimum Grade of D-

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