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Article: Sequential estimation in line transect surveys

TitleSequential estimation in line transect surveys
Authors
Issue Date2002
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM
Citation
Biometrics, 2002, v. 58 n. 2, p. 263-269 How to Cite?
AbstractThis article considers using sequential procedures to determine the amount of survey effort required in a line transect survey in order to achieve a certain precision level in estimating the abundance of a biological population. Sequential procedures are constructed for both parametric and nonparametric animal abundance estimators. The criterion used to derive the stopping rules is the width of confidence intervals for the animal abundance. For each estimator considered, we develop stopping rules based on the asymptotic distributions and the bootstrap. A sequential analysis on an aerial survey of the southern bluefin tuna indicates substantial saving of survey effort can be made by employment of the proposed sequential procedures. This savings of survey effort is also observed in a simulation study designed to evaluate the empirical performance of the proposed sequential procedures.
Persistent Identifierhttp://hdl.handle.net/10722/172056
ISSN
2015 Impact Factor: 1.36
2015 SCImago Journal Rankings: 1.906
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, SXen_US
dc.contributor.authorYip, PSFen_US
dc.contributor.authorZhou, Yen_US
dc.date.accessioned2012-10-30T06:19:51Z-
dc.date.available2012-10-30T06:19:51Z-
dc.date.issued2002en_US
dc.identifier.citationBiometrics, 2002, v. 58 n. 2, p. 263-269en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/172056-
dc.description.abstractThis article considers using sequential procedures to determine the amount of survey effort required in a line transect survey in order to achieve a certain precision level in estimating the abundance of a biological population. Sequential procedures are constructed for both parametric and nonparametric animal abundance estimators. The criterion used to derive the stopping rules is the width of confidence intervals for the animal abundance. For each estimator considered, we develop stopping rules based on the asymptotic distributions and the bootstrap. A sequential analysis on an aerial survey of the southern bluefin tuna indicates substantial saving of survey effort can be made by employment of the proposed sequential procedures. This savings of survey effort is also observed in a simulation study designed to evaluate the empirical performance of the proposed sequential procedures.en_US
dc.languageengen_US
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOMen_US
dc.relation.ispartofBiometricsen_US
dc.rightsBiometrics. Copyright © Blackwell Publishing Ltd.-
dc.subject.meshAnimalsen_US
dc.subject.meshBiometry - Methodsen_US
dc.subject.meshConfidence Intervalsen_US
dc.subject.meshData Collectionen_US
dc.subject.meshModels, Statisticalen_US
dc.subject.meshMonte Carlo Methoden_US
dc.subject.meshPopulation Densityen_US
dc.subject.meshSampling Studiesen_US
dc.subject.meshStatistics, Nonparametricen_US
dc.subject.meshTunaen_US
dc.titleSequential estimation in line transect surveysen_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.doi10.1111/j.0006-341X.2002.00263.x-
dc.identifier.pmid12071398-
dc.identifier.scopuseid_2-s2.0-0035989824en_US
dc.identifier.hkuros68110-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035989824&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume58en_US
dc.identifier.issue2en_US
dc.identifier.spage263en_US
dc.identifier.epage269en_US
dc.identifier.isiWOS:000176157000001-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridXiChen, S=7410252753en_US
dc.identifier.scopusauthoridYip, PSF=7102503720en_US
dc.identifier.scopusauthoridZhou, Y=24292254900en_US
dc.customcontrol.immutablejt 2014-02-14-

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