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Forecasting Short Seasonal Time Series Using Aggregate and Analogous Series

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  • Michael Leonard

Abstract

In forecasting short seasonal time series, Michael Leonard recommends seeking additional sources of information outside the (sparse) historical data on the items themselves. Two potentially promising sources of external information are the histories of the analogous products and of product aggregate in which the item is a component. The article describes a selection tree that can assist the forecaster in choosing an appropriate modeling approach. Copyright International Institute of Forecasters, 2007

Suggested Citation

  • Michael Leonard, 2007. "Forecasting Short Seasonal Time Series Using Aggregate and Analogous Series," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 6, pages 16-20, Spring.
    • Handle: RePEc:for:ijafaa:y:2007:i:6:p:16-20
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