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Article: A Poisson geometric process approach for predicting drop-out and committed first-time blood donors

TitleA Poisson geometric process approach for predicting drop-out and committed first-time blood donors
Authors
Chan, JSKWan, WYYu, PLH
KeywordsBayesian method
geometric process model
mixture model
Poisson count data
trend movement
Issue Date2014
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/02664763.asp
Citation
Journal of Applied Statistics, 2014, v. 41 n. 7, p. 1486-1503 How to Cite?
DOI: http://dx.doi.org/10.1080/02664763.2014.881781
Persistent Identifierhttp://hdl.handle.net/10722/199234
ISSN
0266-4763
2021 Impact Factor: 1.416
2020 SCImago Journal Rankings: 0.509
ISI Accession Number ID
WOS:000335854800007

 

DC FieldValueLanguage
dc.contributor.authorChan, JSKen_US
dc.contributor.authorWan, WYen_US
dc.contributor.authorYu, PLHen_US
dc.date.accessioned2014-07-22T01:09:54Z-
dc.date.available2014-07-22T01:09:54Z-
dc.date.issued2014en_US
dc.identifier.citationJournal of Applied Statistics, 2014, v. 41 n. 7, p. 1486-1503en_US
dc.identifier.issn0266-4763-
dc.identifier.urihttp://hdl.handle.net/10722/199234-
dc.languageengen_US
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/02664763.aspen_US
dc.relation.ispartofJournal of Applied Statisticsen_US
dc.subjectBayesian method-
dc.subjectgeometric process model-
dc.subjectmixture model-
dc.subjectPoisson count data-
dc.subjecttrend movement-
dc.titleA Poisson geometric process approach for predicting drop-out and committed first-time blood donorsen_US
dc.typeArticleen_US
dc.identifier.emailYu, PLH: plhyu@hku.hken_US
dc.identifier.authorityYu, PLH=rp00835en_US
dc.identifier.doi10.1080/02664763.2014.881781-
dc.identifier.scopuseid_2-s2.0-84899979253-
dc.identifier.hkuros230992en_US
dc.identifier.hkuros228070-
dc.identifier.volume41en_US
dc.identifier.issue7en_US
dc.identifier.spage1486en_US
dc.identifier.epage1503en_US
dc.identifier.eissn1360-0532-
dc.identifier.isiWOS:000335854800007-
dc.identifier.issnl0266-4763-

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