Forecasting the Chinese tourist arrivals to Thailand the time series approach
© Medwell Journals, 2016. The ARIMA Model is good for tourism demand forecasting when the uncertainty is low. However, when several uncertainty events happened, such as Chinese holidays, political turmoil and structural changes in our study, the model reacts very weakly. After comparing the out-of-s...
محفوظ في:
المؤلفون الرئيسيون: | Xue Gong, Songsak, Sriboonchitta, Siwarat Kuson |
---|---|
التنسيق: | دورية |
منشور في: |
2018
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85005950760&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/56334 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Forecasting the Chinese tourist arrivals to Thailand the time series approach
بواسطة: Gong X., وآخرون
منشور في: (2017) -
Nonlinear estimations of tourist arrivals to Thailand: forecasting tourist arrivals by using SETAR models and STAR models
بواسطة: Nyo Min, وآخرون
منشور في: (2018) -
Nonlinear estimations of tourist arrivals to Thailand: forecasting tourist arrivals by using SETAR models and STAR models
بواسطة: Min N., وآخرون
منشور في: (2017) -
Forecasting tourist arrivals to Thailand using belief functions
بواسطة: Min,N., وآخرون
منشور في: (2015) -
Copula based GARCH dependence model of Chinese and Korean tourist arrivals to Thailand: Implications for risk management
بواسطة: Ornanong Puarattanaarunkorn, وآخرون
منشور في: (2018)