Statistical functions

FORECAST.ETS.SEASONALITY

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.SEASONALITY(values, timeline, [data_completion], [aggregation])

FORECAST.ETS.SEASONALITY returns the length of the repeating pattern that exponential smoothing detects in a timed series.

FORECAST.ETS.SEASONALITY(values, timeline, [data_completion], [aggregation])

Use it to see what FORECAST.ETS would detect by default, or to set seasonality explicitly.

Try it

Input cells (optional)

Example: {"B2": 3, "B3": 4}. A1 holds the formula. Other cells need values before a formula can read them.

Enter a formula, then calculate.

Runs locally in your browser with OneCalc. Its answer may differ from Excel. Use English function names and commas between arguments.

The OneCalc preview has no answer for this function: see the state above.

Quirks

The timeline, data-completion and aggregation 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.LINEAR for a straight-line forecast.
  • TREND and GROWTH for fitted series.
  • The Forecast Sheet command, which builds on the same family.

Named variants

No named variants are recorded yet.

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