Statistical Analysis of Time Series

Catalog description

This course provides students with knowledge and experience with time series analysis techniques. This includes examining time series components, utilizing descriptive smoothing methods, and developing regression models for time series data. Students will forecast via exponential smoothing, evaluate forecasts, develop ARIMA models, and use Box-Jenkins methods. Students must achieve a minimum grade of C. Prerequisite: MA 230 with a grade of C or higher.