Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/55972
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dc.contributor.authorP. Pastpipatkulen_US
dc.contributor.authorS. Sriboonchittaen_US
dc.contributor.authorW. Yamakaen_US
dc.date.accessioned2018-09-05T03:06:42Z-
dc.date.available2018-09-05T03:06:42Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn16860209en_US
dc.identifier.other2-s2.0-85008352268en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85008352268&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55972-
dc.description.abstract© 2016 by the Mathematical Association of Thailand. All rights reserved. This paper extends the threshold model to Markov Switching model in order to relax a linear function between dependent and independent variables. The model allows non-linear function using the idea of Threshold model. We conducted both simulation and real data studies to evaluate the performance of the proposed model and found that the model performs well in both simulation and application studies. The application study revealed the negative impact of unemployment rate on industry production index when the market stays in recession and depression period. Conversely, the positive impact of Unemployment rate to Industry Production index is empirically evident during expansion and boom period.en_US
dc.subjectMathematicsen_US
dc.titleA bayesian change point with regime switching modelen_US
dc.typeJournalen_US
article.title.sourcetitleThai Journal of Mathematicsen_US
article.volume14en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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