<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></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.

Statistical Forecasting of the Indicators of Polish Airport’s Operations

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

Independent Researcher Graduate of Cracow University of Economics

Folia Oeconomica Stetinensia

{"article-title":"Statistical Forecasting of the Indicators of Polish Airport\u2019s Operations"}

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...

Statistical Forecasting of the Indicators of Polish Airport’s Operations

Publié en ligne: 15 mars 2013

Pages: 7 - 7

DOI: https://doi.org/10.2478/v10031-012-0010-0

This content is open access.