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Exponential Single-exponential smoothingSyntaxMenuDescriptionOptionsRem arks and examplesStored resultsMethods and formulasReferencesAlso seeSyntaxtssmooth exponential[type]newvar=exp[if] [in] [,options]optionsDescriptionMainreplacer eplacenewvarif it already existsparms(# )use# as smoothing parametersamp0(#)use#observations to obtain initial value for recursions0(#)use#as initial value for recursionforecast(#)use#periods for the out-of-sample forecastYou musttssetyour data before usingtssmooth exponential; see [TS] contain time-series operators; see[U] Time-series >Time series>Smoothers/univariate forecasters>Single-exponential smoothingDescriptiontssmooth exponentialmodels the trend of a variable whose change from the previous valueis serially correlated.
2tssmooth exponential— Single-exponential smoothing Remarks and examples stata.com Introduction Examples Treatment of missing values Introduction Exponential smoothing can be viewed either as an adaptive-forecasting algorithm or, equivalently,
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