Skip to main content

Visit LAKERS TOGETHER for COVID policies and information. Face coverings required indoors.

2018-2019 Undergraduate & Graduate Catalog

Search Help

STA 631 - Statistical Modeling and Regression

Traditional and modern computationally-intensive statistical modeling techniques. Basics of probability theory, including conditional probability, Bayes' Theorem, and univariate probability models. Regression modeling and prediction including simple linear, multiple, logistic, Poisson, nonlinear and nonparametric regression. Methods for model selection and shrinkage. Emphasis is on application and interpretation using statistical software. Offered fall semester. Prerequisite: Permission of instructor.

Credits: 3



If you are in need of assistance please submit any questions or comments.