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In statistics, a forecast error is the difference between the actual or real and the predicted or forecast value of a time series or any other phenomenon of interest. Since the forecast error is derived from the same scale of data, comparisons between the forecast errors of different series can only be made when the series are on the same scale.
Standards, Examples of forecasting errors & Calculating forecast error
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Forecast error | is a | difference between the actual or real and the predicted or forecast value of a time series or any other phenomenon of interest | 0.90 | text |
| Forecast error | is a | difference between the observed value and its forecast based on all previous observations | 0.90 | text |
| Forecast error | related to Calculating forecast error | The | 0.60 | section |
| Forecast error | related to Calculating forecast error | If | 0.60 | section |
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