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Computational aspects of robust Holt-Winters smoothing based on M-estimation
Authors:Christophe Croux  Sarah Gelper  Roland Fried
Affiliation:(1) Fac. of Economics and Business, K.U. Leuven, Naamsestraat 69, 3000 Leuven, Belgium;(2) Department of Statistics, University of Dortmund, 44221 Dortmund, Germany
Abstract:To obtain a robust version of exponential and Holt-Winters smoothing the idea of M-estimation can be used. The difficulty is the formulation of an easy-to-use recursive formula for its computation. A first attempt was made by Cipra (Robust exponential smoothing, J. Forecast. 11 (1992), 57–69). The recursive formulation presented there, however, is unstable. In this paper, a new recursive computing scheme is proposed. A simulation study illustrates that the new recursions result in smaller forecast errors on average. The forecast performance is further improved upon by using auxiliary robust starting values and robust scale estimates. This research has been supported by the Research Fund K.U. Leuven and the Fonds voor Wetenschappelijk Onderzoek (Contract number G.0594.05).
Keywords:Holt-Winters smoothing  robust methods  time series
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