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Article: Estimating population size from a removal experiment

TitleEstimating population size from a removal experiment
Authors
KeywordsMaximum likelihood estimation
removal experiment
time dependent capture probability
Issue Date1993
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/stapro
Citation
Statistics And Probability Letters, 1993, v. 16 n. 2, p. 129-135 How to Cite?
AbstractA modification of a removal experiment is proposed here to estimate the size of a closed population. The modification is that a known number of marked (or tagged) animals is released into the population before the experiment commences. The removal process is observed for a fixed number of occasions and the removal probabilities are allowed to be time dependent. We derive a maximum likelihood estimator for the population size. The existence and unimodality of the estimator are examined. A simulation study is given on the performance of the estimator under various conditions of the removal process. A goodness of fit test is given to test the homogeneous mixing assumption between the marked and the unmarked ones. © 1993.
Persistent Identifierhttp://hdl.handle.net/10722/172183
ISSN
2015 Impact Factor: 0.506
2015 SCImago Journal Rankings: 0.720

 

DC FieldValueLanguage
dc.contributor.authorYip, Pen_HK
dc.contributor.authorFong, DYTen_HK
dc.date.accessioned2012-10-30T06:20:35Z-
dc.date.available2012-10-30T06:20:35Z-
dc.date.issued1993en_HK
dc.identifier.citationStatistics And Probability Letters, 1993, v. 16 n. 2, p. 129-135en_HK
dc.identifier.issn0167-7152en_HK
dc.identifier.urihttp://hdl.handle.net/10722/172183-
dc.description.abstractA modification of a removal experiment is proposed here to estimate the size of a closed population. The modification is that a known number of marked (or tagged) animals is released into the population before the experiment commences. The removal process is observed for a fixed number of occasions and the removal probabilities are allowed to be time dependent. We derive a maximum likelihood estimator for the population size. The existence and unimodality of the estimator are examined. A simulation study is given on the performance of the estimator under various conditions of the removal process. A goodness of fit test is given to test the homogeneous mixing assumption between the marked and the unmarked ones. © 1993.en_HK
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/staproen_HK
dc.relation.ispartofStatistics and Probability Lettersen_HK
dc.subjectMaximum likelihood estimationen_HK
dc.subjectremoval experimenten_HK
dc.subjecttime dependent capture probabilityen_HK
dc.titleEstimating population size from a removal experimenten_HK
dc.typeArticleen_HK
dc.identifier.emailYip, P: sfpyip@hku.hken_HK
dc.identifier.emailFong, DYT: dytfong@hku.hken_HK
dc.identifier.authorityYip, P=rp00596en_HK
dc.identifier.authorityFong, DYT=rp00253en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-38249007316en_HK
dc.identifier.volume16en_HK
dc.identifier.issue2en_HK
dc.identifier.spage129en_HK
dc.identifier.epage135en_HK
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridYip, P=7102503720en_HK
dc.identifier.scopusauthoridFong, DYT=35261710300en_HK

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