Short-term Forecasting for Airline Industry: The Case of Indian Air Passenger and Air Cargo

© 2020 International Management Institute, New Delhi. This study aims to forecast air passenger and cargo demand of the Indian aviation industry using the autoregressive integrated moving average (ARIMA) and Bayesian structural time series (BSTS) models. We utilized 10 years’ (2009–2018) air passeng...

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Bibliographic Details
Main Authors: Meena Madhavan, Mohammed Ali Sharafuddin, Pairach Piboonrungroj, Ching Chiao Yang
Format: Journal
Published: 2020
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085520765&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70299
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Institution: Chiang Mai University

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