Double exponential smoothing is a forecasting technique used to make short-term predictions by applying two smoothing constants to the historical data. This method not only considers the level of the data but also takes into account the trend, making it particularly useful for time series that exhibit a consistent upward or downward movement. By effectively addressing both level and trend components, it allows for improved accuracy in forecasting future values.
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