Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/62659
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dc.contributor.authorKasem Kunasrien_US
dc.contributor.authorChanita Panmaneeen_US
dc.contributor.authorSombat Singkharaten_US
dc.contributor.authorRoengchai Tansuchaten_US
dc.date.accessioned2018-11-29T07:38:34Z-
dc.date.available2018-11-29T07:38:34Z-
dc.date.issued2018-05-25en_US
dc.identifier.other2-s2.0-85054813967en_US
dc.identifier.other10.1145/3232174.3232175en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85054813967&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/62659-
dc.description.abstract© 2018 Association for Computing Machinery. Forecasting the values of border trade are needed for strategic planning, especially in the competitive enhancement strategy. This paper applies the autoregressive integrated moving average (ARIMA) models to forecast the border trade value between Thailand and Myanmar on a monthly data basis. The data used are ranged from 2007 to 2016. The results bring about the forecasting model for the further border trade investment of both countries which is useful for making the decision on part of the entrepreneurs, investors, exporters, and importers. Furthermore, the relevant agencies can use these findings to determine the promoting directions of border trade in the future.en_US
dc.subjectComputer Scienceen_US
dc.titleForecasting of Thailand and Myanmar border trade value for strategic planningen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleACM International Conference Proceeding Seriesen_US
article.stream.affiliationsChiang Mai Rajabhat Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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