MATH 428 - Regression Time Series Models

Addresses regression topics that include simple and multiple linear regression, polynomial regression, regression diagnostics, and forecasting. Introduces time series topics that include exponential smoothing, auto- regressive, integrated, moving average (ARIMA) models, and forecasting. Prerequisite: MATH 321 or equivalent.

College: Sciences and Humanities
Hours: 3
Permission: Y
Prerequisite: MATH 321
Co-requisite: none