Statistical Forecasting of the Indicators of Polish Airport’s Operations

Open access


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.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Civil Aviation Authority (2009). Analysis of air transport market in Poland 2004-2007. Warszawa.

  • Civil Aviation Authority (2011). Analysis of air transport market in Poland in 2010. Warszawa.

  • Diebold F. & Mariano R.S. (1995). Comparing Predictive Accuracy. Journal of Business& Economic Statistics 13(3) 253-263.

  • Hyndman R. & Khandakar Y. (2008). Automatic Time Series Forecasting: The forecast Package for R. Journal of Statistical Software 27(3) 1-22.

  • Hyndman R. Koehler A.B. Ord J.K. & Snyder R.D. (2008). Forecasting with ExponentialSmoothing: The State Space Approach. Germany: Springer.

  • R Development Core Team (2010). R: A language and environment for statistical computing [computer software]. Vienna Austria.

Journal information
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 206 68 0
PDF Downloads 80 28 0