Forecasting air passenger volume in Singapore : an evaluation of time series models and econometric models
Nowadays due to the increasingly development of air transport technology, air passenger movements has been growing dynamically. In addition, Singapore aviation industry contributes a large part to Singapore economy. However, there is a high possibility that Singapore may face dilemma for air traffic...
Main Author: | Guo, Rui |
---|---|
Other Authors: | Zhong Zhaowei |
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/69907 |
Similar Items
-
Forecasting air passenger volume in Singapore: Determining the explanatory variables for econometric models
by: Guo, Rui, et al.
Published: (2017) -
Demand forecasting on air passenger travel to Sri Lanka : an evaluation of statistical, time series and artificial intelligence model
by: Sivakumar, Tarshan
Published: (2018) -
Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures
by: Fildes, Robert, et al.
Published: (2011) -
Time series forecasting of the number of Malaysia Airlines and AirAsia passengers
by: Asrah, N. M., et al.
Published: (2018) -
Forecasting Singapore’s pharmaceutical industry using time series models.
by: Lee, Kai Wee., et al.
Published: (2010)