Statistical Forecasting of the Indicators of Polish Airport’s Operations

• Authors: Kamil Fijorek , Agnieszka Leśniewska
• Languages of publication: EN

Abstracts

EN

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.

Keywords

EN

Automatic forecasting; Transportation forecasting; Exponential smoothing; SARIMA models

• Publisher: Sciendo
• Journal: Folia Oeconomica Stetinensia
• Year: 2012
• Volume: 11
• Issue: 1
• Pages: 7-7

Dates

published

2012-01-01

online

2013-03-15

Contributors

author

Kamil Fijorek

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

author

Agnieszka Leśniewska

• Independent Researcher Graduate of Cracow University of Economics

References

• 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.

Identifiers

DOI

10.2478/v10031-012-0010-0