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Statistical Forecasting of the Indicators of Polish Airport’s Operations

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  • Fijorek Kamil

    (Cracow University of Economics Faculty of Management Department of Statistics Rakowicka 27 Str., 31-510 Cracow, Poland)

  • Leśniewska Agnieszka

    (Independent Researcher Graduate of Cracow University of Economics)

Abstract

From the perspective of airport management the knowledge of short-term future airport operation levels is a crucial part of the planning process. In this paper we evaluate the forecasting abilities of exponential smoothing (ETS) and seasonal autoregressive integrated moving average (SARIMA) models applied to the monthly time series of cargo transport, aircraft complete operations and passenger flows generated by selected Polish regional airports.

Suggested Citation

  • Fijorek Kamil & Leśniewska Agnieszka, 2012. "Statistical Forecasting of the Indicators of Polish Airport’s Operations," Folia Oeconomica Stetinensia, Sciendo, vol. 11(1), pages 7-7, January.
  • Handle: RePEc:vrs:foeste:v:11:y:2012:i:1:p:7-7:n:5
    DOI: 10.2478/v10031-012-0010-0
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    References listed on IDEAS

    as
    1. Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
    2. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
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