PL EN


2012 | 11 | 1 | 7-7
Article title

Statistical Forecasting of the Indicators of Polish Airport’s Operations

Title variants
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.
Publisher
Year
Volume
11
Issue
1
Pages
7-7
Physical description
Dates
published
2012-01-01
online
2013-03-15
Contributors
author
  • Cracow University of Economics Faculty of Management Department of Statistics Rakowicka 27 Str., 31-510 Cracow, Poland, kamil.fijorek@uek.krakow.pl
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.
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.doi-10_2478_v10031-012-0010-0
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