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

Open Seat Checker

Schedule Planner

Recent Semesters

Fall 2018

Offered

MW

Avg. Class Size

25

Avg. Sections

2