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Article: Modeling normalcy‐dominant ordinal time series: An application to air quality level

TitleModeling normalcy‐dominant ordinal time series: An application to air quality level
Authors
Liu, MZhu, FZhu, K
Issue Date2022
Citation
Journal of Time Series Analysis, 2022, v. 43, p. 460-478 How to Cite?
DOI: http://dx.doi.org/10.1111/jtsa.12625
Persistent Identifierhttp://hdl.handle.net/10722/312692
ISI Accession Number ID
WOS:000710761100001

 

DC FieldValueLanguage
dc.contributor.authorLiu, M-
dc.contributor.authorZhu, F-
dc.contributor.authorZhu, K-
dc.date.accessioned2022-05-12T10:54:17Z-
dc.date.available2022-05-12T10:54:17Z-
dc.date.issued2022-
dc.identifier.citationJournal of Time Series Analysis, 2022, v. 43, p. 460-478-
dc.identifier.urihttp://hdl.handle.net/10722/312692-
dc.languageeng-
dc.relation.ispartofJournal of Time Series Analysis-
dc.titleModeling normalcy‐dominant ordinal time series: An application to air quality level-
dc.typeArticle-
dc.identifier.emailZhu, K: mazhuke@hku.hk-
dc.identifier.authorityZhu, K=rp02199-
dc.identifier.doi10.1111/jtsa.12625-
dc.identifier.hkuros332925-
dc.identifier.volume43-
dc.identifier.spage460-
dc.identifier.epage478-
dc.identifier.isiWOS:000710761100001-

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