FORECAST.ETS.STAT |
FORECAST.ETS.STAT(values, timeline, statistic_type [,seasonality] [,data_completion] [,aggregation]) |
Returns the statistical value for a future value. |
values | The historical values. |
timeline | The array or range of cells. |
statistic_type | The number indicating which statistic to use: 1 = Alpha parameter of ETS algorithm 2 = Beta parameter of ETS algorithm 3 = Gamma parameter of ETS algorithm 4 = MASE metric 5 = SMAPE metric 6 = MAE metric 7 = RMSE metric 8 = Step Size detected |
seasonality | (Optional) The number indicating whether to use seasonality: 1 - automatically detected uses positive whole numbers (default) 0 - no seasonality, therefore linear |
data_completion | (Optional) The number indicating how to handle missing points: 1 - use the average of the neighbouring points (default) 0 - use zero for any missing points |
aggregation | (Optional) The type of function to use: 1 = AVERAGE (default) 2 = COUNT 3 = COUNTA 4 = MAX 5 = MIN 6 = MEDIAN 7 = SUM |
REMARKS |
* ETS stands for Exponential Triple Smoothing. * You can use the FORECAST.LINEAR function to return the future y-value along a linear trend using existing values. * You can use the FORECAST.ETS function to return the future value based on historical values. * You can use the FORECAST.ETS.CONFINT function to return the confidence interval for a future value. * You can use the FORECAST.ETS.SEASONALITY function to return the length of the repetitive seasonality pattern. * This function was added in Excel 2016. * For the Microsoft documentation refer to support.microsoft.com |
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