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dc.contributor.authorPanisara Phochanachanen_US
dc.contributor.authorPathairat Pastpipatkulen_US
dc.contributor.authorWoraphon Yamakaen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.description.abstract© Serials Publications Pvt.Ltd. This paper proposes a threshold regression model for symbolic interval data to explain the structural change in interval time series data. In this study, the center method and center-range method are applied in the thresold regression model and the parameters are estimated by Bayesian approach. The study employs Gibb sampler and Metropolis-Hastings alogorisms for drawing the parameter values. The results of simulation study and applications to real data are used to evaluate and show the usefullness of our proposed model.en_US
dc.subjectBusiness, Management and Accountingen_US
dc.subjectEconomics, Econometrics and Financeen_US
dc.titleThreshold regression for modeling symbolic interval dataen_US
article.title.sourcetitleInternational Journal of Applied Business and Economic Researchen_US
article.volume15en_US of Phayaoen_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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