Forecasting Periodic Trends by Exponential Smoothing

James M. Dobbie
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James M. Dobbie: Arthur D. Little, Inc., Cambridge, Massachusetts

Operations Research, 1963, vol. 11, issue 6, 908-918

Abstract: Some commodities are known to have periodic trends, through seasonal variations and other variations that are repetitive. In forecasting these trends it is desirable to use a set of periodic functions. A method is obtained for the computation of the required coefficients in exponential smoothing when the set of fitting functions consists of a finite number of sine and cosine functions, or such functions multiplied by exponential functions. Explicit expressions are derived for some particular cases.

Date: 1963
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