Statistical Modeling

Catalog description

This course introduces students to regression and statistical modeling. Topics include method of least squares, residual analysis, data transformations, polynomial regression, generalized linear models, logistic regression, and model selection methods. Other topics may include time series analysis, Bayesian models, and spatial models. Statistical software is used to summarize data sets and build models. Prerequisite(s): MS 212 .