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
Prerequiisite: STAT4250
3 Credits
Click "Details" for a course description, instructor information, and a link to the instructor's website, where you can find a syllabus, first class information, and more...Registration Help
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: Business School 118
Days: M W F
Location: Moon
Room: Business School 118
Time:
01:00-01:50 pm
Instructor: Zhao
Session: 1 (01/14 - 04/30/21)
Term: Spring 2021
Instructor: Zhao
Session: 1 (01/14 - 04/30/21)
Term: Spring 2021
Virtual Rotation: (details)
Prerequiisite: STAT4250
Credits:
3
Days: M W F
Location: Moon
Room: Upmc Events Center 1-4
Days: M W F
Location: Moon
Room: Upmc Events Center 1-4
Time:
03:00-03:50 pm
Instructor: Zhao
Session: 1 (01/14 - 04/30/21)
Term: Spring 2021
Instructor: Zhao
Session: 1 (01/14 - 04/30/21)
Term: Spring 2021
Prerequiisite: STAT4250