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...
Saved in:
Main Authors: | Meena Madhavan, Mohammed Ali Sharafuddin, Pairach Piboonrungroj, Ching Chiao Yang |
---|---|
Format: | Journal |
Published: |
2020
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085520765&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70299 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Short-term booking of air cargo space
by: Chew, E.-P., et al.
Published: (2014) -
An empirical study of airline domestic passenger and cargo demand
by: Lopez, Felipe Neri O., et al.
Published: (1987) -
Airline passenger fatality and the demand for air travel
by: Liu, H., et al.
Published: (2011) -
STUDI KELAYAKAN AIR CARGO AIRLINES DI INDONESIA, STUDI KASUS GARUDA INDONESIA
by: FAISAL, AHMAD -
FORECASTING AIR CARGO BUSINESS REVENUE BASED ON THE DEMAND FOR INTERNATIONAL AIR CARGO IN INDONESIAN AIRPORTS USING ARIMA TIME SERIES ANALYSIS
by: Ramadhan, Rizky