Time series forecasts of international travel demand for Australia
This paper analyses stationary and non-stationary international tourism time series data by
formally testing for the presence of unit roots and seasonal unit roots prior to estimation,
model selection and forecasting. Various Box–Jenkins Autoregressive Integrated Moving
Average (ARIMA) models are estimated over the period 1975 (1)–1989 (4) for tourist arrivals
to Australia from Hong Kong, Malaysia and Singapore. The mean absolute percentage error
and root mean squared error (RMSE) are used as measures of forecast accuracy. As the …
formally testing for the presence of unit roots and seasonal unit roots prior to estimation,
model selection and forecasting. Various Box–Jenkins Autoregressive Integrated Moving
Average (ARIMA) models are estimated over the period 1975 (1)–1989 (4) for tourist arrivals
to Australia from Hong Kong, Malaysia and Singapore. The mean absolute percentage error
and root mean squared error (RMSE) are used as measures of forecast accuracy. As the …
[引用][C] Time series forecasts of international travel demand for Australia
Time series forecasts of international travel demand for Australia - Dialnet … Time series
forecasts of international travel demand for Australia …
forecasts of international travel demand for Australia …
以上显示的是最相近的搜索结果。 查看全部搜索结果