haku: @indexterm Forecasting techniques / yhteensä: 246
viite: 88 / 246
Tekijä:Broze, L.
Melard, G.
Otsikko:Exponential smoothing : estimation by maximum likelihood.
Lehti:Journal of Forecasting
1990 : OCT-DEC, VOL. 9:5, p. 445-455
Asiasana:FORECASTING TECHNIQUES
BOX-JENKINS METHOD
Kieli:eng
Tiivistelmä:Exponential smoothing /ES/ is the most widely used among the extrapolative forecasting techniques. Several forecasting methods based on ES with an underlying seasonal auto-regressive-moving average /SARIMA/ model are discussed. Relations between smoothing constants and the coefficients of the auto-regressive and moving average polynomials are used, and a maximum likelihood estimation is described. This new approach does not need initial smoothed values. Prediction intervals are also obtained as a by-product of the procedure, and an algorithm for implementing this model is presented briefly.
SCIMA tietueen numero: 84859
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