Course Catalog

STAT4230 - Time Series Analysis

Spring 2020

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 tudy of autocorrelation, and the standard auto regressive integrated moving average (ARIMA) models.
Prerequiisite: STAT4250
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: Patrick Henry 102
Time: 03:00-03:50 pm
Instructor: Zhao
Session: 1 (01/19 - 04/30/21)
Term: Spring 2021
Virtual Rotation: (details)
   
Prerequiisite: STAT4250

Credits: 3
Days: M W F
Location: Moon
Room: Business School 118
Time: 01:00-01:50 pm
Instructor: Zhao
Session: 1 (01/19 - 04/30/21)
Term: Spring 2021
Virtual Rotation: (details)
   
Prerequiisite: STAT4250