Statistical functions
FORECAST.ETS.STAT
Not implemented
Listed by Microsoft; no catalogue row yet. How we measure this
No local names are recorded for this entry.
What it does
FORECAST.ETS.STAT(values, timeline, statistic_type, [seasonality], [data_completion], [aggregation])
FORECAST.ETS.STAT returns one statistic of the exponential smoothing fit.
FORECAST.ETS.STAT(values, timeline, statistic_type, [seasonality], [data_completion], [aggregation])
Microsoft lists eight statistics in this order, for statistic_type 1 to 8:
| Type | Statistic |
|---|---|
| 1 | Alpha, the level smoothing parameter |
| 2 | Beta, the trend smoothing parameter |
| 3 | Gamma, the seasonal smoothing parameter |
| 4 | MASE |
| 5 | SMAPE |
| 6 | MAE |
| 7 | RMSE |
| 8 | Step size detected in the timeline |
Try it
The OneCalc preview has no answer for this function: see the state above.
Quirks
The page lists the statistics without numbering them, so the numbers above come from the list order and the stated range. It also describes MAE in the words it uses for SMAPE. The series rules follow FORECAST.ETS.
How to implement
No implementation exists yet. It needs the AAA exponential smoothing fit, the detection of a constant timeline step, seasonality detection, the data-completion and aggregation rules, and recorded Excel answers to fix the optimiser's stopping rules. Forecast values depend on those rules, so they must be measured and not assumed.
Rust code
This entry has no Rust implementation yet.
No implementation has been published with a Handbook test suite for this function.
Version differences
Microsoft says these functions are not available in Excel for the web, iOS or Android. No Excel answers for this function are recorded here, so no comparison between Excel builds exists.
Alternatives
FORECAST.LINEARfor a straight-line forecast.TRENDandGROWTHfor fitted series.- The Forecast Sheet command, which builds on the same family.
Named variants
No named variants are recorded yet.
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