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...

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Main Authors: Xue Gong, Songsak, Sriboonchitta, Siwarat Kuson
格式: 雜誌
出版: 2018
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在線閱讀:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85005950760&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/56334
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機構: Chiang Mai University

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