Majors and Degrees
STAT4230 - Time Series Analysis
Fall 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
Prerequiisite: ASCI4200 or permission of the instructor
3 Credits
Course Registration will occur in the Banner system. For information on how to register and planning tools to ensure that you're Ready to Register please visit: Introducing Banner Self-Service Preparing to register Login to Banner Self-Service |
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