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Article: A unified likelihood-based approach for estimating population size in continuous-time capture-recapture experiments with frailty

TitleA unified likelihood-based approach for estimating population size in continuous-time capture-recapture experiments with frailty
Authors
KeywordsBehavioral response
Capture-recapture
Continuous vs. discrete
Frailty
Gamma distribution
Heterogeneity
Population size
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. 1, p. 228-236+315 How to Cite?
AbstractA unified likelihood-based approach is proposed to estimate population size for a continuous-time closed capture-recapture experiment with frailty. The frailty model allows the capture intensity to vary with individual heterogeneity, time, and behavioral response. The individual heterogeneity effect is modeled as being gamma distributed. The first-capture and recapture intensities are assumed to be in constant proportion but may otherwise vary arbitrarily through time. The approach is also extended to capture-recapture experiments with possible random removals. Simulation studies are conducted to examine the performance of the proposed estimators. By asymptotic efficiency comparison and simulation studies, the proposed estimators have been shown to be superior to their discrete-time model counterparts in genuine continuous-time capture-recapture experiments. © 2006, The International Biometric Society.
Persistent Identifierhttp://hdl.handle.net/10722/54358
ISSN
2023 Impact Factor: 1.4
2023 SCImago Journal Rankings: 1.480
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorXi, Len_HK
dc.contributor.authorYip, PSFen_HK
dc.contributor.authorWatson, Ren_HK
dc.date.accessioned2009-04-03T07:44:25Z-
dc.date.available2009-04-03T07:44:25Z-
dc.date.issued2007en_HK
dc.identifier.citationBiometrics, 2007, v. 63 n. 1, p. 228-236+315en_HK
dc.identifier.issn0006-341Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/54358-
dc.description.abstractA unified likelihood-based approach is proposed to estimate population size for a continuous-time closed capture-recapture experiment with frailty. The frailty model allows the capture intensity to vary with individual heterogeneity, time, and behavioral response. The individual heterogeneity effect is modeled as being gamma distributed. The first-capture and recapture intensities are assumed to be in constant proportion but may otherwise vary arbitrarily through time. The approach is also extended to capture-recapture experiments with possible random removals. Simulation studies are conducted to examine the performance of the proposed estimators. By asymptotic efficiency comparison and simulation studies, the proposed estimators have been shown to be superior to their discrete-time model counterparts in genuine continuous-time capture-recapture experiments. © 2006, The International Biometric Society.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.rightsThe definitive version is available at www.blackwell-synergy.comen_HK
dc.subjectBehavioral responseen_HK
dc.subjectCapture-recaptureen_HK
dc.subjectContinuous vs. discreteen_HK
dc.subjectFrailtyen_HK
dc.subjectGamma distributionen_HK
dc.subjectHeterogeneityen_HK
dc.subjectPopulation sizeen_HK
dc.subject.meshBehavior, Animalen_HK
dc.subject.meshBiometryen_HK
dc.subject.meshLikelihood Functionsen_HK
dc.subject.meshPopulation Densityen_HK
dc.subject.meshModels, Statisticalen_HK
dc.titleA unified likelihood-based approach for estimating population size in continuous-time capture-recapture experiments with frailtyen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0006-341X&volume=63&issue=1&spage=228&epage=236&date=2007&atitle=A+unified+likelihood-based+approach+for+estimating+population+size+in+continuous-time+capture-recapture+experiments+with+frailtyen_HK
dc.identifier.emailYip, PSF: sfpyip@hku.hken_HK
dc.identifier.authorityYip, PSF=rp00596en_HK
dc.description.naturepostprinten_HK
dc.identifier.doi10.1111/j.1541-0420.2006.00623.xen_HK
dc.identifier.pmid17447949-
dc.identifier.scopuseid_2-s2.0-34247257270en_HK
dc.identifier.hkuros138110-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34247257270&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume63en_HK
dc.identifier.issue1en_HK
dc.identifier.spage228en_HK
dc.identifier.epage236+315en_HK
dc.identifier.isiWOS:000244647100026-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridXi, L=12645912200en_HK
dc.identifier.scopusauthoridYip, PSF=7102503720en_HK
dc.identifier.scopusauthoridWatson, R=7403653677en_HK
dc.identifier.citeulike1235693-
dc.identifier.issnl0006-341X-

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