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Exponential Smoothing of Seasonal Data: A Comparison

Author

Listed:
  • Shami, R.G.
  • Snyder, R.D.

Abstract

A 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.

Suggested Citation

  • 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.
  • Handle: RePEc:msh:ebswps:1997-10
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    Cited by:

    1. Gardner, Everette Jr., 2006. "Exponential smoothing: The state of the art--Part II," International Journal of Forecasting, Elsevier, vol. 22(4), pages 637-666.

    More about this item

    Keywords

    ECONOMETRICS ; TIME SERIES;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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