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Article: Estimating population size for a continuous time frailty model with covariates in a capture-recapture study

TitleEstimating population size for a continuous time frailty model with covariates in a capture-recapture study
Authors
Issue Date2007
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM
Citation
Biometrics, 2007, v. 63 n. 3, p. 917-921 How to Cite?
AbstractA continuous time frailty capture-recapture model is proposed for estimating population size of a closed population with the use of observed covariates to explain individuals' heterogeneity in presence of a random effect. A conditional likelihood approach is used to derive the estimate of parameters, and the Horvitz-Thompson estimator is adopted to estimate the unknown population size. Asymptotic normality of the estimates is obtained. Simulation results and a real example show that the proposed method works satisfactorily. © 2007, The International Biometric Society.
Persistent Identifierhttp://hdl.handle.net/10722/172169
ISSN
2015 Impact Factor: 1.36
2015 SCImago Journal Rankings: 1.906
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorXu, Yen_US
dc.contributor.authorLiu, Len_US
dc.contributor.authorYou, Nen_US
dc.contributor.authorPan, Hen_US
dc.contributor.authorYip, Pen_US
dc.date.accessioned2012-10-30T06:20:31Z-
dc.date.available2012-10-30T06:20:31Z-
dc.date.issued2007en_US
dc.identifier.citationBiometrics, 2007, v. 63 n. 3, p. 917-921en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/172169-
dc.description.abstractA continuous time frailty capture-recapture model is proposed for estimating population size of a closed population with the use of observed covariates to explain individuals' heterogeneity in presence of a random effect. A conditional likelihood approach is used to derive the estimate of parameters, and the Horvitz-Thompson estimator is adopted to estimate the unknown population size. Asymptotic normality of the estimates is obtained. Simulation results and a real example show that the proposed method works satisfactorily. © 2007, The International Biometric Society.en_US
dc.languageengen_US
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOMen_US
dc.relation.ispartofBiometricsen_US
dc.subject.meshAlgorithmsen_US
dc.subject.meshBiometry - Methodsen_US
dc.subject.meshComputer Simulationen_US
dc.subject.meshData Interpretation, Statisticalen_US
dc.subject.meshDemographyen_US
dc.subject.meshHumansen_US
dc.subject.meshModels, Biologicalen_US
dc.subject.meshModels, Statisticalen_US
dc.subject.meshPopulation Densityen_US
dc.subject.meshPopulation Dynamicsen_US
dc.subject.meshSample Sizeen_US
dc.subject.meshStatistical Distributionsen_US
dc.titleEstimating population size for a continuous time frailty model with covariates in a capture-recapture studyen_US
dc.typeArticleen_US
dc.identifier.emailYip, P: sfpyip@hku.hken_US
dc.identifier.authorityYip, P=rp00596en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1111/j.1541-0420.2007.00773.xen_US
dc.identifier.pmid17403102-
dc.identifier.scopuseid_2-s2.0-34548448174en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34548448174&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume63en_US
dc.identifier.issue3en_US
dc.identifier.spage917en_US
dc.identifier.epage921en_US
dc.identifier.isiWOS:000248947200034-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridXu, Y=8323337100en_US
dc.identifier.scopusauthoridLiu, L=7405257513en_US
dc.identifier.scopusauthoridYou, N=24281866700en_US
dc.identifier.scopusauthoridPan, H=20735278000en_US
dc.identifier.scopusauthoridYip, P=7102503720en_US
dc.identifier.citeulike1618415-

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