Description:
Stationary time series. Autocorrelation and spectrum. ARMA and ARIMA processes: estimation and forecasting. Seasonal ARIMA models. Identification and diagnostic techniques. Multivariate time series. Time series software.
Description:
Stationary time series. Autocorrelation and spectrum. ARMA and ARIMA processes: estimation and forecasting. Seasonal ARIMA models. Identification and diagnostic techniques. Multivariate time series. Time series software.
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Description:
Stationary time series. Autocorrelation and spectra. ARMA and ARIMA processes: estimation and forecasting. Seasonal ARIMA models. Identification and diagnostic techniques. Multivariate time series. Time series software.