Box-Jenkins is a multi-step model-building strategy aimed at analyzing and forecasting time-series data. Box-Jenkins methodology looks for an adequate model in the group of models known as Auto Regressive (AR), Moving Average (MA), Auto Regression Moving Average (ARIMA) and Auto Regression Integrated Moving Average (ARIMA) processes.