Modelling of non-scheduled air transportation time series based on ARIMA

Modelling of non-scheduled air transportation time series based on ARIMA

Forecasting non-scheduled air transportation demand is essential for effective resource allocation, operational planning, and decision-making. In this paper, the use of the ARIMA (Auto Regressive Integrated Moving Average) model for forecasting non-scheduled air transportation is explored. The ARIMA...

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Bibliographic Details
Main Authors: N. B. Aghayev, D.  Sh. Nazarli
Format: Article
Language:Russian
Published: Moscow State Technical University of Civil Aviation 2024-12-01
Series:Научный вестник МГТУ ГА
Subjects:
non-scheduled air transportation
time series analysis
arima
statistical analysis
optimal model
forecasting
autoregressive model
Online Access:https://avia.mstuca.ru/jour/article/view/2464
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