Exponential Smoothing of Seasonal Data: A Comparison
AbstractA parsimonious method of exponential smoothing is introduced for time series generated from a combination of local trends and local seasonal effects. It is compared with the additive version of the Holt-Winters method of forecasting on a standard collection of real time series. Copyright © 2001 by John Wiley & Sons, Ltd.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Journal of Forecasting.
Volume (Year): 20 (2001)
Issue (Month): 3 (April)
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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/2966
Other versions of this item:
- Shami, R.G. & Snyder, R.D., 1997. "Exponential Smoothing of Seasonal Data: A Comparison," Monash Econometrics and Business Statistics Working Papers 10/97, Monash University, Department of Econometrics and Business Statistics.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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