Majors and Degrees

STAT4230 - Time Series Analysis

Fall 2021: Doctorate

This course introduces the mathematical and statistical foundations necessary for the study of time dependent sets, more commonly referred to as time series. The estimation of model parameters and the application of the models to forecasting constitute the main themes of the course. Specific topics include smoothing techniques, the study of autocorrelation, and the standard auto regressive integrated moving average (ARIMA) models.
Prerequiisite: STAT4250 3 Credits
3 Credits

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 M  Monday
 T  Tuesday
 W  Wednesday
 R  Thursday
 F  Friday
 S  Saturday
 U  Sunday

Schedule Book for All Active and Available Future Terms, Course starting with STAT4230
Page 1 of 1
Credits: 3
Days: M W F
Location: Moon
Room: John Jay 141
Time: 03:00-03:50 pm
Instructor: Zhao
Session: 1 (01/10 - 04/29/22)
Term: Spring 2022
Prerequiisite: STAT4250 3 Credits

Credits: 3
Days: M W F
Location: Moon
Room: Hale Center 307
Time: 01:00-01:50 pm
Instructor: Zhao
Session: 1 (01/10 - 04/29/22)
Term: Spring 2022
Prerequiisite: STAT4250 3 Credits