Applied Time Series

Course Type: 
STT
Code: 
6110
Level: 
Graduate
Credit Hours: 
3
Schedule Type: 
Lecture
Description: 

Stochastic models for discrete time series in the time-domain, moving average processes, autoregressive processes, model identification, parameter estimation, and forecasting. Statistical computing software packages are used. Department Managed Prerequisite(s): (Undergraduate level STT 3610 Minimum Grade of D or Graduate level STT 5610 Minimum Grade of D)

Restrictions: 
Must be enrolled in one of the following Levels: Graduate, Medical, Professional.