Keywords and phrases: air traffic volume forecast, seasonal ARIMA, seasonal exponential smoothing, neural networks, hybrid method, Bayesian structural time series, Holt-Winters, Kuwait International Airport.
Received: July 1, 2021; Accepted: August 2, 2021; Published: August 14, 2021
How to cite this article: Ahmad T. Al-Sultan, Amani Al-Rubkhi, Ahmad Alsaber and Jiazhu Pan, Forecasting air passenger traffic volume: evaluating time series models in long-term forecasting of Kuwait air passenger data, Advances and Applications in Statistics 70(1) (2021), 69-89. DOI: 10.17654/AS070010069
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
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