Statistics (STAT)
School of Mathematics and Statistics
Faculty of Science
STAT 4603 [0.5 credit]
Time Series and Forecasting (Honours)
Time series regression. Nonstationary and stationary time series models. Nonseasonal and seasonal time series models. ARIMA (Box-Jenkins) models. Smoothing methods. Parameter estimation, model identification, diagnostic checking. Forecasting techniques.
A statistical software package will be used.
Prerequisite:
STAT 3553 or
STAT 3503, or permission of the School.
Lectures three hours a week, laboratory one hour a week.