Using ARIMA and Box-Jenkins methodology for time series forecast - Part 1
The Box-Jenkins method, named after George Box and Gwilym Jenkins, is an approach used in time series analysis to find the best fit of a time-series model to past values of a time-series applying Autoregressive Moving Average (ARMA) and Autoregressive Integrated Moving Average (ARIMA). Approach The approach has been referred