Applied Time Series

STAT 451 XW

Restricted to students in the Masters in Business Analytics degree program

Course Description

Meeker. Methods for analyzing data collected over time; review of multiple regression analysis. Elementary forecasting methods: moving averages and exponential smoothing. Autoregressive-moving average (Box-Jenkins) models: identification, estimation, diagnostic checking, and forecasting. Transfer function models and intervention analysis. Introduction to multivariate time series methods.

3 credits

Questions

Instructor Contact

William Meeker
wqmeeker@iastate.edu
515-294-5366

Contact Us

Engineering-LAS Online Learning
2273 Howe Hall, Suite 1328
Ames, IA 50011-2273
Main Office: elo@iastate.edu
Technical Support: elotech@iastate.edu
Curriculum Development: elodev@iastate.edu