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Abstrakty
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. (original abstract)
Twórcy
autor
- Cracow University of Economics, Poland
autor
- Independent Researcher Graduate of Cracow University of Economics
Bibliografia
- 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 Exponential Smoothing: The State Space Approach. Germany: Springer.
- R Development Core Team (2010). R: A language and environment for statistical computing [computer software]. Vienna, Austria.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171225441