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
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: Hale Center 203
Days: M W F
Location: Moon
Room: Hale Center 203
Time:
01:00-01:50 pm
Instructor: Zhao
Session: 1 (01/16/2024 - 05/03/2024)
Term: Spring 2024
Instructor: Zhao
Session: 1 (01/16/2024 - 05/03/2024)
Term: Spring 2024
Prerequiisite: STAT4250
3 Credits