The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
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Performance Evaluation of Time Series Models using Short-Term Air Passenger Data

  • Park, W.G. (Digital Inclusion Policy Division Research fellow, NIA) ;
  • Kim, S. (Department of Applied Statistics, Chung-Ang University)
  • Received : 2012.11.07
  • Accepted : 2012.11.20
  • Published : 2012.12.31
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Abstract

We perform a comparison of time series models that include seasonal ARIMA, Fractional ARIMA, and Holt-Winters models; in addition, we also consider hourly and daily air passenger data. The results of the performance evaluation of the models show that the Holt-Winters methods outperforms other models in terms of MAPE.

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References

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