{
  "category": "Statistical functions",
  "display_name": "FORECAST.ETS.STAT",
  "entry_kind": "built_in_function",
  "eval_api": {
    "method": "POST",
    "url": "https://handbook.dnacalc.com/api/eval"
  },
  "function_id": "FUNC.FORECAST.ETS.STAT",
  "implementation_state": {
    "answer_bank": null,
    "detail": "Listed by Microsoft; no catalogue row yet.",
    "dnacalc_commit": "9e1884369a678158dd82d3d74188daf986995e87",
    "in_catalogue": false,
    "state": "refuses",
    "state_label": "Refuses or not implemented",
    "summary": "Not implemented",
    "workbook_corpus": null
  },
  "implementations": [],
  "json_url": "https://handbook.dnacalc.com/api/functions/FUNC.FORECAST.ETS.STAT.json",
  "name": "FORECAST.ETS.STAT",
  "notes": [],
  "schema": "efh.function-reference/v1",
  "section_order": [
    "what-it-does",
    "try-it",
    "quirks",
    "how-to-implement",
    "version-differences",
    "alternatives"
  ],
  "sections": {
    "alternatives": "\n- `FORECAST.LINEAR` for a straight-line forecast.\n- `TREND` and `GROWTH` for fitted series.\n- The Forecast Sheet command, which builds on the same family.\n\n\n",
    "how-to-implement": "\nNo implementation exists yet. It needs the AAA exponential smoothing fit, the detection of a constant timeline step, seasonality\ndetection, the data-completion and aggregation rules, and recorded Excel answers to fix the optimiser's stopping\nrules. Forecast values depend on those rules, so they must be measured and not assumed.\n\n\n",
    "quirks": "\nThe 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](FUNC.FORECAST.ETS.md).\n\n\n",
    "sources": "\n- [FORECAST.ETS.STAT function](https://support.microsoft.com/en-us/excel/functions/forecast-ets-stat-function)\n- [FORECAST.ETS function](https://support.microsoft.com/en-us/excel/functions/forecast-ets-function)\n\n",
    "version-differences": "\nMicrosoft 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.\n\n\n",
    "what-it-does": "\n`FORECAST.ETS.STAT` returns one statistic of the exponential smoothing fit.\n\n`FORECAST.ETS.STAT(values, timeline, statistic_type, [seasonality], [data_completion], [aggregation])`\n\nMicrosoft lists eight statistics in this order, for `statistic_type` 1 to 8:\n\n| Type | Statistic |\n|---|---|\n| 1 | Alpha, the level smoothing parameter |\n| 2 | Beta, the trend smoothing parameter |\n| 3 | Gamma, the seasonal smoothing parameter |\n| 4 | MASE |\n| 5 | SMAPE |\n| 6 | MAE |\n| 7 | RMSE |\n| 8 | Step size detected in the timeline |\n\n\n"
  },
  "signature": {
    "display": "FORECAST.ETS.STAT(values, timeline, statistic_type, [seasonality], [data_completion], [aggregation])",
    "parameters": [
      {
        "description": null,
        "name": "values",
        "optional": false,
        "repeats": false
      },
      {
        "description": null,
        "name": "timeline",
        "optional": false,
        "repeats": false
      },
      {
        "description": null,
        "name": "statistic_type",
        "optional": false,
        "repeats": false
      },
      {
        "description": null,
        "name": "seasonality",
        "optional": true,
        "repeats": false
      },
      {
        "description": null,
        "name": "data_completion",
        "optional": true,
        "repeats": false
      },
      {
        "description": null,
        "name": "aggregation",
        "optional": true,
        "repeats": false
      }
    ],
    "trailing_repeats": false
  },
  "sources": {
    "metadata": {
      "admission": {
        "label": "not_implemented",
        "reason": "Listed by Microsoft; no catalogue row yet."
      },
      "arity": {
        "max": 6,
        "min": 3
      },
      "category": "Statistical functions",
      "classification": {},
      "descriptions": {
        "long": null,
        "short": "A statistic of an exponential triple smoothing forecast",
        "short_source": "dna-calc-own"
      },
      "docs": {
        "english_description": null,
        "microsoft_url": "https://support.microsoft.com/en-us/excel/functions/forecast-ets-stat-function"
      },
      "entry_kind": "built_in_function",
      "localized_family_names": null,
      "localized_names": [],
      "signature": {
        "display": "FORECAST.ETS.STAT(values, timeline, statistic_type, [seasonality], [data_completion], [aggregation])",
        "parameters": [
          {
            "description": null,
            "name": "values",
            "optional": false,
            "repeats": false
          },
          {
            "description": null,
            "name": "timeline",
            "optional": false,
            "repeats": false
          },
          {
            "description": null,
            "name": "statistic_type",
            "optional": false,
            "repeats": false
          },
          {
            "description": null,
            "name": "seasonality",
            "optional": true,
            "repeats": false
          },
          {
            "description": null,
            "name": "data_completion",
            "optional": true,
            "repeats": false
          },
          {
            "description": null,
            "name": "aggregation",
            "optional": true,
            "repeats": false
          }
        ],
        "trailing_repeats": false
      },
      "surface_name": "FORECAST.ETS.STAT",
      "version_marker": null,
      "xlcall": null
    },
    "microsoft": "https://support.microsoft.com/en-us/excel/functions/forecast-ets-stat-function"
  },
  "try_it": {
    "formula": "=FORECAST.ETS.STAT({1,2,3,4,5},{1,2,3,4,5},1)",
    "note": "The OneCalc preview has no answer for this function: see the state above.",
    "preview_status": "worksheet-error"
  },
  "url": "https://handbook.dnacalc.com/functions/FORECAST.ETS.STAT.html",
  "variants": [],
  "versions": []
}