Robust forecasting with exponential and holt-winters smoothing

S.E.C. Gelper, R. Fried, C. Croux

Research output: Contribution to journalArticleAcademicpeer-review

206 Citations (Scopus)
1652 Downloads (Pure)


Robust versions of the exponential and Holt–Winters smoothing method for forecasting are presented. They are suitable for forecasting univariate time series in the presence of outliers. The robust exponential and Holt–Winters smoothing methods are presented as recursive updating schemes that apply the standard technique to pre-cleaned data. Both the update equation and the selection of the smoothing parameters are robustified. A simulation study compares the robust and classical forecasts. The presented method is found to have good forecast performance for time series with and without outliers, as well as for fat-tailed time series and under model misspecification. The method is illustrated using real data incorporating trend and seasonal effects. Keywords: forecasting; Holt–Winters smoothing; robust methods; time series
Original languageEnglish
Pages (from-to)285-300
Number of pages16
JournalJournal of Forecasting
Issue number3
Publication statusPublished - 2010
Externally publishedYes


Dive into the research topics of 'Robust forecasting with exponential and holt-winters smoothing'. Together they form a unique fingerprint.

Cite this