MATH 6317 - Mixed Effects Models Scientist

Description
MIXED EFFECTS MODELS FOR SCIENTIST This course will deal with extensions to the regression and ANOVA that are frequently useful in dealing with ecological data. Topics include: using bootstrapping for significance testing; generalized additive models; using generalized least squares to deal with non-homogeneous data; working with fixed and random factors; handling temporally correlated and spatially correlated data; and the generalized linear model (Poisson, logistic, and negative binomial regression). Prerequisite: MATH 6315 or MATH 6316; in particular, a good basic understanding of linear regression and at least exposure to multiple regression.
Credits
3
Attributes
Distance Education COSE
Recent Professors
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Recent Semesters
Fall 2018
Offered
MW
Avg. Class Size
25
Avg. Sections
2