STAT 4443
Time Series Analysis and Applications (A)
Discrete time series and stochastic processes; autocorrelation and partial correlation functions; white noise; moving averages; autoregressive, mixed and integrated processes; stochastic models, fitting, estimation and diagnostic checkup; forecasting; forecasting in seasonal time series; applications would include problems from Economics, Engineering, Physics.
Prerequisites & course information
Prerequisite : STAT 3093 .
Sources
- Course catalogue ↗2026-2027