Overview for Double Exponential Smoothing

Use Double Exponential Smoothing as a general smoothing method and to provide short-term forecasts when your data have a trend and do not have a seasonal component. This procedure calculates dynamic estimates for two components: level and trend.

For example, an online retailer wants to predict computer sales for the next six months. The retailer collects data on computer sales and software sales from the previous two years to predict future trends.

Where to find this analysis

  • Mac: Statistics > Time Series > Double Exponential Smoothing
  • PC: STATISTICS > Forecast > Double Exponential Smoothing

When to use an alternate analysis

If your data do not have a trend and do not have a seasonal component, use Moving Average or Single Exponential Smoothing.

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