Box–Jenkins method
Method to find best fit of a time-series model / From Wikipedia, the free encyclopedia
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In time series analysis, the Box–Jenkins method,[1] named after the statisticians George 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.