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Article: A semiparametric method for estimating population size for capture-recapture experiments with random covariates in continuous time

TitleA semiparametric method for estimating population size for capture-recapture experiments with random covariates in continuous time
Authors
KeywordsCapture-recapture
EM algorithm
Estimating equation
Population size
Semiparametric method
Issue Date2005
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM
Citation
Biometrics, 2005, v. 61 n. 4, p. 1085-1092 How to Cite?
AbstractA semiparametric estimation procedure is proposed to model capture-recapture data with the aim of estimating the population size for a closed population. Individuals' covariates are possibly time dependent and missing at noncaptured times and may be measured with error. A set of estimating equations (EEs) based on covariate process and capture-recapture data is constructed to estimate the relevant parameters and the population size. These EEs can be solved by an algorithm similar to an EM algorithm. Simulation results show that the proposed procedures work better than the naive estimate. In some cases they are even better than "ideal" estimates, for which the true values of covariates are available for all captured subjects over the entire experimental period. We apply the method to a capture-recapture experiment on the bird species Prinia flaviventris in Hong Kong.
Persistent Identifierhttp://hdl.handle.net/10722/82912
ISSN
2015 Impact Factor: 1.36
2015 SCImago Journal Rankings: 1.906
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYip, PSFen_HK
dc.contributor.authorLin, HZen_HK
dc.contributor.authorXi, Len_HK
dc.date.accessioned2010-09-06T08:34:49Z-
dc.date.available2010-09-06T08:34:49Z-
dc.date.issued2005en_HK
dc.identifier.citationBiometrics, 2005, v. 61 n. 4, p. 1085-1092en_HK
dc.identifier.issn0006-341Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/82912-
dc.description.abstractA semiparametric estimation procedure is proposed to model capture-recapture data with the aim of estimating the population size for a closed population. Individuals' covariates are possibly time dependent and missing at noncaptured times and may be measured with error. A set of estimating equations (EEs) based on covariate process and capture-recapture data is constructed to estimate the relevant parameters and the population size. These EEs can be solved by an algorithm similar to an EM algorithm. Simulation results show that the proposed procedures work better than the naive estimate. In some cases they are even better than "ideal" estimates, for which the true values of covariates are available for all captured subjects over the entire experimental period. We apply the method to a capture-recapture experiment on the bird species Prinia flaviventris in Hong Kong.en_HK
dc.languageengen_HK
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOMen_HK
dc.relation.ispartofBiometricsen_HK
dc.rightsBiometrics. Copyright © Blackwell Publishing Ltd.en_HK
dc.subjectCapture-recaptureen_HK
dc.subjectEM algorithmen_HK
dc.subjectEstimating equationen_HK
dc.subjectPopulation sizeen_HK
dc.subjectSemiparametric methoden_HK
dc.titleA semiparametric method for estimating population size for capture-recapture experiments with random covariates in continuous timeen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0006-341X&volume=61&issue=4&spage=1085&epage=1092&date=2005&atitle=A+semiparametric+method+for+estimating+population+size+for+capture–recapture+experiments+with+random+covariates+in+continuous+timeen_HK
dc.identifier.emailYip, PSF: sfpyip@hku.hken_HK
dc.identifier.authorityYip, PSF=rp00596en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1541-0420.2005.00379.xen_HK
dc.identifier.pmid16401282-
dc.identifier.scopuseid_2-s2.0-33644865422en_HK
dc.identifier.hkuros124647en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33644865422&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume61en_HK
dc.identifier.issue4en_HK
dc.identifier.spage1085en_HK
dc.identifier.epage1092en_HK
dc.identifier.isiWOS:000234062200026-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridYip, PSF=7102503720en_HK
dc.identifier.scopusauthoridLin, HZ=13907979600en_HK
dc.identifier.scopusauthoridXi, L=12645912200en_HK
dc.identifier.citeulike420080-

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