IEGR 636 - Time Series Analysis and Forecasting Systems

Three hours.
3 Credits

Time and frequency domain aspects of time series are developed in a mutually reinforcing fashion. Behavior patterns of time series are examined with a view toward model identification and forecasting. The statistical procedures for model estimation are presented and employed. Multiple time series concepts and problems are introduced. The BoxJenkins approach is emphasized.