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Article: Statistical inference for a multitype epidemic model

TitleStatistical inference for a multitype epidemic model
Authors
Keywords60G45
62F20
62M99
62P10
Counting Process Models
Maximum Likelihood Estimation
Potential
Relative Infection Rate
Zero Mean Martingale (Zmm)
Issue Date1998
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jspi
Citation
Journal Of Statistical Planning And Inference, 1998, v. 71 n. 1-2, p. 229-244 How to Cite?
AbstractA continuous-time model which allows for k types of susceptible individuals is constructed to study the spread of an infectious disease. Estimation of parameters is considered for the purpose in determining the mechanism of spread and in assessing the potential of a major epidemic. The inference procedure makes use of martingale estimating equations and explicit expressions for the estimates are obtained. Some of the estimators do not require complete observation of the epidemic. Only information at the end of the epidemic is needed. Asymptotic properties of the estimators and efficiencies among the estimators are determined. Simulation studies were done to assess the performance of the proposed estimators. The inference procedures were applied to epidemics of respiratory disease on the Island of Tristan de Cunha in the South Atlantic.
Persistent Identifierhttp://hdl.handle.net/10722/172080
ISSN
2015 Impact Factor: 0.727
2015 SCImago Journal Rankings: 1.090
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYip, PSFen_US
dc.contributor.authorChen, Qen_US
dc.date.accessioned2012-10-30T06:20:01Z-
dc.date.available2012-10-30T06:20:01Z-
dc.date.issued1998en_US
dc.identifier.citationJournal Of Statistical Planning And Inference, 1998, v. 71 n. 1-2, p. 229-244en_US
dc.identifier.issn0378-3758en_US
dc.identifier.urihttp://hdl.handle.net/10722/172080-
dc.description.abstractA continuous-time model which allows for k types of susceptible individuals is constructed to study the spread of an infectious disease. Estimation of parameters is considered for the purpose in determining the mechanism of spread and in assessing the potential of a major epidemic. The inference procedure makes use of martingale estimating equations and explicit expressions for the estimates are obtained. Some of the estimators do not require complete observation of the epidemic. Only information at the end of the epidemic is needed. Asymptotic properties of the estimators and efficiencies among the estimators are determined. Simulation studies were done to assess the performance of the proposed estimators. The inference procedures were applied to epidemics of respiratory disease on the Island of Tristan de Cunha in the South Atlantic.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jspien_US
dc.relation.ispartofJournal of Statistical Planning and Inferenceen_US
dc.rightsJournal of Statistical Planning and Inference. Copyright © Elsevier BV.-
dc.subject60G45en_US
dc.subject62F20en_US
dc.subject62M99en_US
dc.subject62P10en_US
dc.subjectCounting Process Modelsen_US
dc.subjectMaximum Likelihood Estimationen_US
dc.subjectPotentialen_US
dc.subjectRelative Infection Rateen_US
dc.subjectZero Mean Martingale (Zmm)en_US
dc.titleStatistical inference for a multitype epidemic modelen_US
dc.typeArticleen_US
dc.identifier.emailYip, PSF: sfpyip@hku.hken_US
dc.identifier.authorityYip, PSF=rp00596en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/S0378-3758(98)00087-1-
dc.identifier.scopuseid_2-s2.0-0040685889en_US
dc.identifier.hkuros38837-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0040685889&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume71en_US
dc.identifier.issue1-2en_US
dc.identifier.spage229en_US
dc.identifier.epage244en_US
dc.identifier.isiWOS:000076080800015-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridYip, PSF=7102503720en_US
dc.identifier.scopusauthoridChen, Q=7406335304en_US

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