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Article: Building Higher-order Markov Chain Models with EXCEL

TitleBuilding Higher-order Markov Chain Models with EXCEL
Authors
Ching, WKChing, WKFung, ESNg, MK
Issue Date2004
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/0020739X.asp
Citation
International Journal of Mathematical Education in Science and Technology, 2004, v. 35 n. 6, p. 921-932 How to Cite?
DOI: http://dx.doi.org/10.1080/00207390412331271302
AbstractCategorical data sequences occur in many applications such as forecasting, data mining and bioinformatics. In this note, we present higher-order Markov chain models for modelling categorical data sequences with an efficient algorithm for solving the model parameters. The algorithm can be implemented easily in a Microsoft EXCEL worksheet. We give a detailed description for the implementation which is accessible and useful to anyone who is interested in the applications of higher-order Markov chain models and has some knowledge of EXCEL.
Persistent Identifierhttp://hdl.handle.net/10722/75473
ISSN
0020-739X
2023 Impact Factor: 0.7
2023 SCImago Journal Rankings: 0.634

 

DC FieldValueLanguage
dc.contributor.authorChing, WKen_HK
dc.contributor.authorChing, WKen_HK
dc.contributor.authorFung, ESen_HK
dc.contributor.authorNg, MK-
dc.date.accessioned2010-09-06T07:11:26Z-
dc.date.available2010-09-06T07:11:26Z-
dc.date.issued2004en_HK
dc.identifier.citationInternational Journal of Mathematical Education in Science and Technology, 2004, v. 35 n. 6, p. 921-932en_HK
dc.identifier.issn0020-739Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/75473-
dc.description.abstractCategorical data sequences occur in many applications such as forecasting, data mining and bioinformatics. In this note, we present higher-order Markov chain models for modelling categorical data sequences with an efficient algorithm for solving the model parameters. The algorithm can be implemented easily in a Microsoft EXCEL worksheet. We give a detailed description for the implementation which is accessible and useful to anyone who is interested in the applications of higher-order Markov chain models and has some knowledge of EXCEL.-
dc.languageengen_HK
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/0020739X.aspen_HK
dc.relation.ispartofInternational Journal of Mathematical Education in Science and Technologyen_HK
dc.titleBuilding Higher-order Markov Chain Models with EXCELen_HK
dc.typeArticleen_HK
dc.identifier.emailChing, WK: wching@hkucc.hku.hken_HK
dc.identifier.emailNg, MK: kkpong@hku.hken_HK
dc.identifier.authorityChing, WK=rp00679en_HK
dc.identifier.doi10.1080/00207390412331271302-
dc.identifier.hkuros97991en_HK
dc.identifier.volume35-
dc.identifier.issue6-
dc.identifier.spage921-
dc.identifier.epage932-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0020-739X-

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