Course Catalog

STAT4230 - Time Series Analysis

Summer 2017

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: ASCI4200 or permission of the instructor
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
Time: 01:00-01:50 pm
Instructor: Zhao
Session: 1 (01/16/2024 - 05/03/2024)
Term: Spring 2024
Prerequiisite: STAT4250 3 Credits