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Article: Estimation in capture-recapture models when covariates are subject to measurement errors and missing data

TitleEstimation in capture-recapture models when covariates are subject to measurement errors and missing data
Authors
KeywordsCapture-Recapture
Em Algorithm
Estimating Function
Measurement Error
Missing Covariate
Population Size
Issue Date2009
PublisherStatistical Society of Canada. The Journal's web site is located at http://www.mat.ulaval.ca/cjs
Citation
Canadian Journal Of Statistics, 2009, v. 37 n. 4, p. 645-658 How to Cite?
AbstractFor capture-recapture models when covariates are subject to measurement errors and missing data, a set of estimating equations is constructed to estimate population size and relevant parameters. These estimating equations can be solved by an algorithm similar to the EM algorithm. The proposed method is also applicable to the situation when covariates with no measurement errors have missing data. Simulation studies are used to assess the performance of the proposed estimator. The estimator is also applied to a capture-recapture experiment on the bird species Prinia flaviventris in Hong Kong. © 2009 Statistical Society of Canada.
Persistent Identifierhttp://hdl.handle.net/10722/172225
ISSN
2015 Impact Factor: 0.413
2015 SCImago Journal Rankings: 0.737
References

 

DC FieldValueLanguage
dc.contributor.authorXi, Len_US
dc.contributor.authorWatson, Ren_US
dc.contributor.authorWang, Jen_US
dc.contributor.authorYip, PSFen_US
dc.date.accessioned2012-10-30T06:20:48Z-
dc.date.available2012-10-30T06:20:48Z-
dc.date.issued2009en_US
dc.identifier.citationCanadian Journal Of Statistics, 2009, v. 37 n. 4, p. 645-658en_US
dc.identifier.issn0319-5724en_US
dc.identifier.urihttp://hdl.handle.net/10722/172225-
dc.description.abstractFor capture-recapture models when covariates are subject to measurement errors and missing data, a set of estimating equations is constructed to estimate population size and relevant parameters. These estimating equations can be solved by an algorithm similar to the EM algorithm. The proposed method is also applicable to the situation when covariates with no measurement errors have missing data. Simulation studies are used to assess the performance of the proposed estimator. The estimator is also applied to a capture-recapture experiment on the bird species Prinia flaviventris in Hong Kong. © 2009 Statistical Society of Canada.en_US
dc.languageengen_US
dc.publisherStatistical Society of Canada. The Journal's web site is located at http://www.mat.ulaval.ca/cjsen_US
dc.relation.ispartofCanadian Journal of Statisticsen_US
dc.subjectCapture-Recaptureen_US
dc.subjectEm Algorithmen_US
dc.subjectEstimating Functionen_US
dc.subjectMeasurement Erroren_US
dc.subjectMissing Covariateen_US
dc.subjectPopulation Sizeen_US
dc.titleEstimation in capture-recapture models when covariates are subject to measurement errors and missing dataen_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.doi10.1002/cjs.10038en_US
dc.identifier.scopuseid_2-s2.0-74049134392en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-74049134392&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume37en_US
dc.identifier.issue4en_US
dc.identifier.spage645en_US
dc.identifier.epage658en_US
dc.publisher.placeCanadaen_US
dc.identifier.scopusauthoridXi, L=12645912200en_US
dc.identifier.scopusauthoridWatson, R=7403653677en_US
dc.identifier.scopusauthoridWang, J=15835948900en_US
dc.identifier.scopusauthoridYip, PSF=7102503720en_US

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