Course Content |
Students will acquire time series as a stochastic process, Means, covariances, correlations, stationarity, Moving averages and smoothing, Stationary and nonstationary parametric models, model specification, estimation and testing, Seasonality, Some forecasting procedures, elementary spectral domain analysis, use of computer software such as SAS, SPSS. |