Time Series Analysis

This course focuses on stationary models and autocorrelation function; Estimation and elimination of trend and seasonal components; Stationary processes, ARMA processes, estimation of mean, forecasting stationary time series; ARIMA models, forecasting ARIMA models, seasonal ARIMA models, applications using real and simulated data.