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Article: Estimating population size from a capture-recapture experiment with known removals

TitleEstimating population size from a capture-recapture experiment with known removals
Authors
Issue Date1991
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/tpb
Citation
Theoretical Population Biology, 1991, v. 40 n. 1, p. 1-13 How to Cite?
AbstractWe use martingale theory and a method of moments technique to derive a class of estimators for the size of a closed population in a capture-recapture experiment with known removals in either discrete or continuous time. The capture probabilities may vary on each successive capture occasion. Some of the estimators and their associated standard errors have explicit expressions. Optimal estimators in the sense of giving tightest asymptotic confidence intervals for the population size in either cases are also found. Asymptotic results are readily obtained by an application of a martingale central limit theorem. In contrast to previously proposed estimation procedures the present approach requires only a modest amount of calculation and is based on less restrictive assumptions. An example and a small simulation study showed that the proposed estimators perform better than the existing ones. © 1991.
Persistent Identifierhttp://hdl.handle.net/10722/171996
ISSN
2015 Impact Factor: 1.452
2015 SCImago Journal Rankings: 1.044

 

DC FieldValueLanguage
dc.contributor.authorYip, Pen_US
dc.date.accessioned2012-10-30T06:19:33Z-
dc.date.available2012-10-30T06:19:33Z-
dc.date.issued1991en_US
dc.identifier.citationTheoretical Population Biology, 1991, v. 40 n. 1, p. 1-13en_US
dc.identifier.issn0040-5809en_US
dc.identifier.urihttp://hdl.handle.net/10722/171996-
dc.description.abstractWe use martingale theory and a method of moments technique to derive a class of estimators for the size of a closed population in a capture-recapture experiment with known removals in either discrete or continuous time. The capture probabilities may vary on each successive capture occasion. Some of the estimators and their associated standard errors have explicit expressions. Optimal estimators in the sense of giving tightest asymptotic confidence intervals for the population size in either cases are also found. Asymptotic results are readily obtained by an application of a martingale central limit theorem. In contrast to previously proposed estimation procedures the present approach requires only a modest amount of calculation and is based on less restrictive assumptions. An example and a small simulation study showed that the proposed estimators perform better than the existing ones. © 1991.en_US
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/tpben_US
dc.relation.ispartofTheoretical Population Biologyen_US
dc.titleEstimating population size from a capture-recapture experiment with known removalsen_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.scopuseid_2-s2.0-0026382287en_US
dc.identifier.volume40en_US
dc.identifier.issue1en_US
dc.identifier.spage1en_US
dc.identifier.epage13en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridYip, P=7102503720en_US

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