## Abstract 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
Stationary Forecasting; Using Holt-Winter and a Modification of Holt-Winter
✍ Scribed by Dr. Mohammed K. Kazempour
- Book ID
- 101718687
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 359 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
The mean square error of the best (projection) linear predictor and some approximation methods are compared. Some analytical results concerning the optimal ‘smoothing constant’ for Holt‐Winter in Moving Average (1), model MA(1), and Autoregressive Moving Average (1,1), model ARMA(1,1), have been derived. A modified Holt‐Winter technique has been proposed and it is shown for MA(1) and ARMA(1,1) it coincides with the best linear predictor. Finally, we considered flow prediction for the Niger River and the performance of modified Holt‐Winter graphically.
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