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function BINOM.INV function CHIDIST function CHIINV function CHISQ.DIST function CHISQ.DIST.RT function CHISQ.INV function CHISQ.INV.RT function CHITEST function CHISQ.TEST function CONFIDENCE function CONFIDENCE.NORM function CONFIDENCE.T function CORREL function COUNT function COUNTA function COUNTBLANK function COUNTIF function COUNTIFS function COVAR function COVARIANCE.P function COVARIANCE.S function CRITBINOM function DEVSQ function EXPON.DIST function EXPONDIST function F.DIST function FDIST function F.DIST.RT function F.INV function FINV function F.INV.RT function FISHER function FISHERINV function FORECAST function FORECAST.ETS function FORECAST.ETS.CONFINT function FORECAST.ETS.SEASONALITY function FORECAST.ETS.STAT function FORECAST.LINEAR function FREQUENCY function FTEST function F.TEST function GAMMA function GAMMA.DIST function GAMMADIST function GAMMA.INV function GAMMAINV function GAMMALN function GAMMALN.PRECISE function GAUSS function GEOMEAN function GROWTH function HARMEAN function HYPGEOMDIST function HYPGEOM.DIST function INTERCEPT function KURT function LARGE function LINEST function LOGEST function LOGINV function LOGNORM.DIST function LOGNORM.INV function LOGNORMDIST function MAX function MAXA function MAXIFS function MEDIAN function MIN function MINA function MINIFS function MODE function MODE.MULT function MODE.SNGL function NEGBINOMDIST function NEGBINOM.DIST function NORMDIST function NORM.DIST function NORMINV function NORM.INV function NORMSDIST function NORM.S.DIST function NORMSINV function NORM.S.INV function PEARSON function PERCENTILE function PERCENTILE.EXC function PERCENTILE.INC function PERCENTRANK function PERCENTRANK.EXC function PERCENTRANK.INC function PERMUT function PERMUTATIONA function PHI function POISSON function POISSON.DIST function PROB function QUARTILE function QUARTILE.EXC function QUARTILE.INC function RANK function RANK.AVG function RANK.EQ function RSQ function SKEW function SKEW.P function SLOPE function SMALL function STANDARDIZE function STDEV function STDEV.S function STDEVA function STDEVP function STDEV.P function STDEVPA function STEYX function TDIST function T.DIST function T.DIST.2T function T.DIST.RT function T.INV function T.INV.2T function TINV function TRIMMEAN function TREND function TTEST function T.TEST function UNIQUE function VAR function VARA function VARP function VAR.P function VAR.S function VARPA function WEIBULL function WEIBULL.DIST function ZTEST function Z.TEST function Using the AVERAGE function The FORECAST.ETS function is one of the statistical functions. It is used to calculate or predict a future value based on existing (historical) values by using the AAA version of the Exponential Smoothing (ETS) algorithm. Syntax FORECAST.ETS(target_date, values, timeline, [seasonality], [data_completion], [aggregation]) The FORECAST.ETS function has the following arguments: Argument Description target_date A date for which you want to predict a new value. Must be after the last date in the timeline. values A range of the historical values for which you want to predict a new point. timeline A range of date/time values that correspond to the historical values. The timeline range must be of the same size as the values range. Date/time values must have a constant step between them (although up to 30% of missing values can be processed as specified by the data_completion argument and duplicate values can be aggregated as specified by the aggregation argument). seasonality A numeric value that specifies which method should be used to detect the seasonality. It is an optional argument. The possible values are listed in the table below. data_completion A numeric value that specifies how to process the missing data points in the timeline data range. It is an optional argument. The possible values are listed in the table below. aggregation A numeric value that specifies which function should be used to aggregate identical time values in the timeline data range. It is an optional argument. The possible values are listed in the table belows. The seasonality argument can be one of the following: Numeric value Behavior 1 or omitted Seasonality is detected automatically. Positive, whole numbers are used for the length of the seasonal pattern. 0 No seasonality, the prediction will be linear. an integer greater than or equal to 2 The specified number is used for the length of the seasonal pattern. The data_completion argument can be one of the following: Numeric value Behavior 1 or omitted Missing points are calculated as the average of the neighbouring points. 0 Missing points are treated as zero values. The aggregation argument can be one of the following: Numeric value Function 1 or omitted AVERAGE 2 COUNT 3 COUNTA 4 MAX 5 MEDIAN 6 MIN 7 SUM Notes How to apply the FORECAST.ETS function. Examples The figure below displays the result returned by the FORECAST.ETS function. Return to previous page Try now for free Try and make your decision No need to install anythingto see all the features in action