Each forecast using the method of exponential smoothing depends on all the previous observations in the time series.

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Exponential smoothing is a technique used in time series forecasting that assigns exponentially decreasing weights to past observations in order to give greater importance to more recent data. Therefore, each forecast using exponential smoothing takes into account all the previous observations in the time series.

Each Forecast Using the Method of Exponential Smoothing Depends on All