Exponential smoothing : The state of the art – Part II

@inproceedings{Gardner2005ExponentialS,
  title={Exponential smoothing : The state of the art – Part II},
  author={E. S. Gardner},
  year={2005}
}
In Gardner (1985), I reviewed the research in exponential smoothing since the original work by Brown and Holt. This paper brings the state of the art up to date. The most important theoretical advance is the invention of a complete statistical rationale for exponential smoothing based on a new class of state-space models with a single source of error. The most important practical advance is the development of a robust method for smoothing damped multiplicative trends. We also have a new… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 216 references

Normalization of seasonal factors in Winters

  • B. C. Archibald, A. B. Koehler
  • methods, International Journal of Forecasting,
  • 2003
Highly Influential
5 Excerpts

The evaluation of extrapolative forecasting methods, International

  • R. Fildes
  • Journal of Forecasting,
  • 1992
Highly Influential
8 Excerpts

Progressive tuning of simple exponential smoothing forecasts

  • R. D. Snyder
  • Journal of the Operational Research Society,
  • 1988
Highly Influential
20 Excerpts

Comments on ‘Exponential Smoothing: The State of the Art

  • E. McKenzie
  • Journal of Forecasting,
  • 1985
Highly Influential
17 Excerpts

Forecasting and stock control for intermittent demands

  • J. D. Croston
  • Operational Research Quarterly,
  • 1972
Highly Influential
8 Excerpts

Statistical Forecasting for Inventory Control, New York: McGraw-Hill

  • R. G. Brown
  • 1959
Highly Influential
18 Excerpts

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