1 |
Box, G. E. P. and Tiao, G. C. (1975). Intervention analysis with applications to economic and environmental problems. Journal of the American Statistical Association, 70, 70-79.
DOI
|
2 |
Cho, S., Sohn, Y. and Seong, B. (2016). Time series analysis, Yulgok book publishing Co., Seoul.
|
3 |
Choi, K. and Kim, J. (2001). A study on forecasting of overseas tour - Gravity model and regression model. Journal of the Korean Data & Information Science Society, 12, 103-111.
|
4 |
Cryer, J. D. and Chan, K. S. (2008). Time series analysis: With applications in R, Springer-Verlag, New York.
|
5 |
Han, G. H., Jung, J. and Yoo, J. K. (2014). A study on prediction for attendances of Korean pro baseball games using covariates. Journal of the Korean Data & Information Science Society, 25, 1481-1489.
DOI
|
6 |
Huh, H. J. and Kim, H. C. (2001). Forecasting demand for Jeju-bound tourist: An application of intervention method. Journal of Tourism Sciences, 25, 27-42.
|
7 |
Kim, S. and Lee, J. H. (2011). A Study on the seasonal effects of the tourism demand forecasting models. Korean Journal of Applied Statistics, 24, 93-102.
DOI
|
8 |
Kim, S. and Seong, B. (2011). Intervention analysis of Korea tourism data. Korean Journal of Applied Statistics, 24, 735-743.
DOI
|
9 |
Lee, C. K, Song, H. J and Mjelde J.W. (2008). The forecasting of international Expo tourism using quantitative and qualitative techniques. Tourism Management, 29, 1084-1098.
DOI
|
10 |
Phillips, P. C. B. and Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75, 335-346.
DOI
|
11 |
Ryu, S. R. and Kim, J. T. (2013). Time series regression model for forecasting the number of elementary school teachers. Journal of the Korean Data & Information Science Society, 24, 321-332.
DOI
|
12 |
Shin, Y. and Yoon, S. (2016). Electricity forecasting model using specific time zone. Journal of the Korean Data & Information Science Society, 27, 275-284.
DOI
|
13 |
Song, D. Y. (2015). A study on forecasting the number of tourist in Jeju island focusing on travel purposes and types with seasonal ARIMA models, Master Thesis, Jeju national university, Jeju.
|
14 |
Song, H. and Li, G. (2008). Tourism demand modelling and forecasting - A review of recent research. Tourism Management, 29, 203-220.
DOI
|