Holt-Winters method with general seasonality

Tomáš Hanzák

Kybernetika (2012)

  • Volume: 48, Issue: 1, page 1-15
  • ISSN: 0023-5954

Abstract

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The paper suggests a generalization of widely used Holt-Winters smoothing and forecasting method for seasonal time series. The general concept of seasonality modeling is introduced both for the additive and multiplicative case. Several special cases are discussed, including a linear interpolation of seasonal indices and a usage of trigonometric functions. Both methods are fully applicable for time series with irregularly observed data (just the special case of missing observations was covered up to now). Moreover, they sometimes outperform the classical Holt-Winters method even for regular time series. A simulation study and real data examples compare the suggested methods with the classical one.

How to cite

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Hanzák, Tomáš. "Holt-Winters method with general seasonality." Kybernetika 48.1 (2012): 1-15. <http://eudml.org/doc/246240>.

@article{Hanzák2012,
abstract = {The paper suggests a generalization of widely used Holt-Winters smoothing and forecasting method for seasonal time series. The general concept of seasonality modeling is introduced both for the additive and multiplicative case. Several special cases are discussed, including a linear interpolation of seasonal indices and a usage of trigonometric functions. Both methods are fully applicable for time series with irregularly observed data (just the special case of missing observations was covered up to now). Moreover, they sometimes outperform the classical Holt-Winters method even for regular time series. A simulation study and real data examples compare the suggested methods with the classical one.},
author = {Hanzák, Tomáš},
journal = {Kybernetika},
keywords = {exponential smoothing; Holt--Winters method; irregular time series; seasonal indices; trigonometric functions; exponential smoothing; irregular time series; seasonal indices; trigonometric functions},
language = {eng},
number = {1},
pages = {1-15},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Holt-Winters method with general seasonality},
url = {http://eudml.org/doc/246240},
volume = {48},
year = {2012},
}

TY - JOUR
AU - Hanzák, Tomáš
TI - Holt-Winters method with general seasonality
JO - Kybernetika
PY - 2012
PB - Institute of Information Theory and Automation AS CR
VL - 48
IS - 1
SP - 1
EP - 15
AB - The paper suggests a generalization of widely used Holt-Winters smoothing and forecasting method for seasonal time series. The general concept of seasonality modeling is introduced both for the additive and multiplicative case. Several special cases are discussed, including a linear interpolation of seasonal indices and a usage of trigonometric functions. Both methods are fully applicable for time series with irregularly observed data (just the special case of missing observations was covered up to now). Moreover, they sometimes outperform the classical Holt-Winters method even for regular time series. A simulation study and real data examples compare the suggested methods with the classical one.
LA - eng
KW - exponential smoothing; Holt--Winters method; irregular time series; seasonal indices; trigonometric functions; exponential smoothing; irregular time series; seasonal indices; trigonometric functions
UR - http://eudml.org/doc/246240
ER -

References

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