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Article: Local polynomial estimation of Poisson intensities in the presence of reporting delays

TitleLocal polynomial estimation of Poisson intensities in the presence of reporting delays
Authors
KeywordsCounting Process
Martingale
Non-Parametric Procedure
Partial Observation
Suicide Cases
Issue Date2008
PublisherWiley-Blackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/RSSC
Citation
Journal of the Royal Statistical Society. Series C: Applied Statistics, 2008, v. 57 n. 4, p. 447-459 How to Cite?
AbstractSummary. The system for monitoring suicides in Hong Kong has considerable delays in reporting as the cause of death needs to be determined by a coroner's investigation. However, timely estimates of suicide rates are desirable to assist in the formulation of public health policies. This motivated us to develop a non-parametric procedure to estimate the intensity function of a Poisson process in the presence of reporting delays. We give closed form estimators of the Poisson intensity and the delay distribution, conduct simulation studies to evaluate the method proposed and derive their asymptotic properties. The method proposed is applied to estimate the intensity of suicide in Hong Kong. © 2008 Royal Statistical Society.
Persistent Identifierhttp://hdl.handle.net/10722/172451
ISSN
2015 Impact Factor: 1.354
2015 SCImago Journal Rankings: 1.092
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, Fen_US
dc.contributor.authorHuggins, RMen_US
dc.contributor.authorYip, PSFen_US
dc.contributor.authorLam, KFen_US
dc.date.accessioned2012-10-30T06:22:35Z-
dc.date.available2012-10-30T06:22:35Z-
dc.date.issued2008en_US
dc.identifier.citationJournal of the Royal Statistical Society. Series C: Applied Statistics, 2008, v. 57 n. 4, p. 447-459en_US
dc.identifier.issn0035-9254en_US
dc.identifier.urihttp://hdl.handle.net/10722/172451-
dc.description.abstractSummary. The system for monitoring suicides in Hong Kong has considerable delays in reporting as the cause of death needs to be determined by a coroner's investigation. However, timely estimates of suicide rates are desirable to assist in the formulation of public health policies. This motivated us to develop a non-parametric procedure to estimate the intensity function of a Poisson process in the presence of reporting delays. We give closed form estimators of the Poisson intensity and the delay distribution, conduct simulation studies to evaluate the method proposed and derive their asymptotic properties. The method proposed is applied to estimate the intensity of suicide in Hong Kong. © 2008 Royal Statistical Society.en_US
dc.languageengen_US
dc.publisherWiley-Blackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/RSSCen_US
dc.relation.ispartofJournal of the Royal Statistical Society. Series C: Applied Statisticsen_US
dc.subjectCounting Processen_US
dc.subjectMartingaleen_US
dc.subjectNon-Parametric Procedureen_US
dc.subjectPartial Observationen_US
dc.subjectSuicide Casesen_US
dc.titleLocal polynomial estimation of Poisson intensities in the presence of reporting delaysen_US
dc.typeArticleen_US
dc.identifier.emailYip, PSF: sfpyip@hku.hken_US
dc.identifier.emailLam, KF: hrntlkf@hkucc.hku.hken_US
dc.identifier.authorityYip, PSF=rp00596en_US
dc.identifier.authorityLam, KF=rp00718en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1111/j.1467-9876.2008.00624.xen_US
dc.identifier.scopuseid_2-s2.0-47649133264en_US
dc.identifier.hkuros147570-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-47649133264&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume57en_US
dc.identifier.issue4en_US
dc.identifier.spage447en_US
dc.identifier.epage459en_US
dc.identifier.isiWOS:000257674800005-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridChen, F=25928259900en_US
dc.identifier.scopusauthoridHuggins, RM=7102879186en_US
dc.identifier.scopusauthoridYip, PSF=7102503720en_US
dc.identifier.scopusauthoridLam, KF=8948421200en_US
dc.identifier.citeulike3003500-

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