TITLE:
Prediction of Civil Aviation Passenger Transportation Based on ARIMA Model
AUTHORS:
Xinxin Tang, Guangming Deng
KEYWORDS:
Passenger Transportation, ARIMA Model, Seasonal Trend, Forecast
JOURNAL NAME:
Open Journal of Statistics,
Vol.6 No.5,
October
21,
2016
ABSTRACT: The passenger transportation, as an
important index to describe the scale of aviation passenger transport,
prediction and research, can let us understand the future trend of the aviation
passenger transport, according to it, the airline can make corresponding
marketing strategy adjustment. Combining with the knowledge of time series let
us understand the characteristics of passenger transportation change, the R
software is used to fit the data, so as to establish the ARIMA(1,1,8) model to
describe the civil aviation passenger transport developing trend in the future
and to make reasonable predictions.