Applied Statistical Models II

Catalog description

(cross-leveled with STAT 4520 ). Advanced course in applied statistical modeling focusing on extensions of the linear model. Topics include generalized linear models, such as logistic and Poisson regression. Random effects models will also be introduced, with emphasis on linear and generalized linear mixed models, repeated measures, and longitudinal data. These methods will extend to general models for dependent data, such as spatially-referenced data and time series. Lastly, nonlinear models through neural networks and deep learning will also be discussed. Credit Hour s : 3 Prerequisites: STAT 4510 or STAT 7510 or instructor's consent