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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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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Box–Jenkins method | related to External links | First Course | 0.60 | section |
| Box–Jenkins method | related to External links | Time Series Analysis | 0.60 | section |
| Box–Jenkins method | related to External links | SAS | 0.60 | section |
| Box–Jenkins method | related to External links | Chapter | 0.60 | section |
| Box–Jenkins method | related to External links | Box | 0.60 | section |
| Box–Jenkins method | related to External links | Jenkins | 0.60 | section |
| Box–Jenkins method | related to External links | Engineering Statistics Handbook | 0.60 | section |
| Box–Jenkins method | related to External links | NISTBox | 0.60 | section |
| Box–Jenkins method | related to External links | Rob | 0.60 | section |
| Box–Jenkins method | related to External links | HyndmanThe Box | 0.60 | section |
| Box–Jenkins method | related to External links | Theresa Hoang Diem Ngo | 0.60 | section |
| Box–Jenkins method | related to External links | This | 0.60 | section |
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