Box–Jenkins method

In time series analysis, the Box–Jenkins method, named after the statisticiansGeorge Box and Gwilym Jenkins, applies autoregressive moving average (ARMA) or autoregressive integrated moving average (ARIMA) models to find the best fit of a time-series model to past values of a time series.