Threshold regression for modeling symbolic interval data

© 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 esti...

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Main Authors: Panisara Phochanachan, Pathairat Pastpipatkul, Woraphon Yamaka, Songsak Sriboonchitta
Format: Journal
Published: 2018
Subjects:
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/56888
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-568882018-09-05T03:37:05Z Threshold regression for modeling symbolic interval data Panisara Phochanachan Pathairat Pastpipatkul Woraphon Yamaka Songsak Sriboonchitta Business, Management and Accounting Economics, Econometrics and Finance © 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. 2018-09-05T03:31:31Z 2018-09-05T03:31:31Z 2017-01-01 Journal 09727302 2-s2.0-85019584625 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85019584625&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/56888
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Business, Management and Accounting
Economics, Econometrics and Finance
spellingShingle Business, Management and Accounting
Economics, Econometrics and Finance
Panisara Phochanachan
Pathairat Pastpipatkul
Woraphon Yamaka
Songsak Sriboonchitta
Threshold regression for modeling symbolic interval data
description © 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.
format Journal
author Panisara Phochanachan
Pathairat Pastpipatkul
Woraphon Yamaka
Songsak Sriboonchitta
author_facet Panisara Phochanachan
Pathairat Pastpipatkul
Woraphon Yamaka
Songsak Sriboonchitta
author_sort Panisara Phochanachan
title Threshold regression for modeling symbolic interval data
title_short Threshold regression for modeling symbolic interval data
title_full Threshold regression for modeling symbolic interval data
title_fullStr Threshold regression for modeling symbolic interval data
title_full_unstemmed Threshold regression for modeling symbolic interval data
title_sort threshold regression for modeling symbolic interval data
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85019584625&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/56888
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