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SELECTING PARAMETERS FOR SHORT-TERM FORECASTING TECHNIQUES
Authors:Douglas J. Dalrymple  Barry E. King
Abstract:The objective of this paper is to discover which of three forecasting modes used to select parameters for four short-term forecasting techniques minimizes errors. The study also examines whether the amount of historical data used to find parameters contributes to forecasting success. The results show the traditional one-ahead search routine works well in some, but not all, forecasting situations. Also, forecasting errors appear to decline when more historical data are included in the parameter search.
Keywords:Forecasting  Smoothing Techniques.  three referees.
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