STT 6110 - Applied Time Series

Credit Hour(s): 3

Course Description: This course introduces students to the theory and methods of statistical time series analysis. Emphasis will be on practical modeling and prediction techniques for data collected sequentially in time. The theory of covariance-stationary stochastic process, which is the mathematical basis for these techniques, will be developed.

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