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Article: A unified approach for estimating population size in capture-recapture studies with arbitrary removals

TitleA unified approach for estimating population size in capture-recapture studies with arbitrary removals
Authors
KeywordsCapture-Recapture Experiment
Conditional Likelihood
Covariates
Horvitz-Thompson Estimator
Population Size Estimation
Removal
Issue Date2001
PublisherAmerican Statistical Association. The Journal's web site is located at http://www.amstat.org/publications/jabes
Citation
Journal Of Agricultural, Biological, And Environmental Statistics, 2001, v. 6 n. 2, p. 183-194 How to Cite?
AbstractA unified approach is suggested to estimate the population size for a closed population in discrete time. Individuals can be removed after capture at any time during the experiment. The usual recapture and removal experiments are shown to be particular cases of the general formulation. The capture probability is assumed to have a logistic function that depends on individual covariates and can be time dependent. The unified approach involves a two-step procedure. A conditional likelihood function is used to estimate the covariates' coefficients and a Horvitz-Thompson type estimator to estimate the population size. The asymptotic and small-sample properties of the resulting estimators are investigated. A real example is given.
Persistent Identifierhttp://hdl.handle.net/10722/171988
ISSN
2015 Impact Factor: 0.79
2015 SCImago Journal Rankings: 0.571
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYip, PSFen_US
dc.contributor.authorWan, ECYen_US
dc.contributor.authorChan, KSen_US
dc.date.accessioned2012-10-30T06:19:32Z-
dc.date.available2012-10-30T06:19:32Z-
dc.date.issued2001en_US
dc.identifier.citationJournal Of Agricultural, Biological, And Environmental Statistics, 2001, v. 6 n. 2, p. 183-194en_US
dc.identifier.issn1085-7117en_US
dc.identifier.urihttp://hdl.handle.net/10722/171988-
dc.description.abstractA unified approach is suggested to estimate the population size for a closed population in discrete time. Individuals can be removed after capture at any time during the experiment. The usual recapture and removal experiments are shown to be particular cases of the general formulation. The capture probability is assumed to have a logistic function that depends on individual covariates and can be time dependent. The unified approach involves a two-step procedure. A conditional likelihood function is used to estimate the covariates' coefficients and a Horvitz-Thompson type estimator to estimate the population size. The asymptotic and small-sample properties of the resulting estimators are investigated. A real example is given.en_US
dc.languageengen_US
dc.publisherAmerican Statistical Association. The Journal's web site is located at http://www.amstat.org/publications/jabesen_US
dc.relation.ispartofJournal of Agricultural, Biological, and Environmental Statisticsen_US
dc.subjectCapture-Recapture Experimenten_US
dc.subjectConditional Likelihooden_US
dc.subjectCovariatesen_US
dc.subjectHorvitz-Thompson Estimatoren_US
dc.subjectPopulation Size Estimationen_US
dc.subjectRemovalen_US
dc.titleA unified approach for estimating population size in capture-recapture studies with arbitrary removalsen_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.doi10.1198/108571101750524698en_US
dc.identifier.scopuseid_2-s2.0-0008589520en_US
dc.identifier.hkuros60276-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0008589520&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume6en_US
dc.identifier.issue2en_US
dc.identifier.spage183en_US
dc.identifier.epage194en_US
dc.identifier.isiWOS:000172409100006-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridYip, PSF=7102503720en_US
dc.identifier.scopusauthoridWan, ECY=7004344414en_US
dc.identifier.scopusauthoridChan, KS=7406033758en_US

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