STT 6110 - Applied Time Series

Credit Hour(s): 3

Course 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.

Prerequisite(s): Undergraduate level STT 3610 Minimum Grade of D or Graduate level STT 5610 Minimum Grade of D

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

Course Level: Graduate
Schedule Type(s): Lecture

Grade Mode: Standard
Term(s) Offered: Fall, Spring, Summer