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Single Exponential Smoothing Guide by John Tent is a document available to read on EtoBox.

What is Single Exponential Smoothing Guide about?

Single exponential smoothing is a simple and commonly used forecasting method that requires minimal data. It estimates the average of a time series based on a smoothing constant between 0 and 1, with higher values placing more emphasis on recent data. The forecast for the next period is equal to the estimated average. Two examples are provided to illustrate how to calculate the estimated average and forecast using single exponential smoothing. While simple, it is not well-suited for time series with trends,

Author

John Tent

Language

EN