About Box–Jenkins

In time series analysis, the Box–Jenkins method, 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.

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Box–Jenkins

method to find best fit of a time-series model

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About Box–Jenkins

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Facts from Wikidata (CC0).

Box–Jenkins across IJR

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