Publicação:
Comparison between univariate and bivariate geostatistical models for estimating catch per unit of effort (cpue): A simulation study

dc.contributor.authorPereira, Julio Cesar
dc.contributor.authorLeandro, Roseli Aparecida
dc.contributor.authorPetrere, Miguel [UNESP]
dc.contributor.authorNishida, Tom
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFisheries Res Agcy
dc.date.accessioned2013-09-30T18:48:25Z
dc.date.accessioned2014-05-20T13:57:39Z
dc.date.available2013-09-30T18:48:25Z
dc.date.available2014-05-20T13:57:39Z
dc.date.issued2012-06-01
dc.description.abstractData on catch and fishing effort are used for estimating the relative abundance of a fish stock. Geostatistical models have been used in this sort of analysis. Multivariate geostatistical models have been used in several areas but not often with fisheries data. In this paper a simulation study was carried out in order to compare an index of catch per unit of fishing effort (cpue) based on: (1) the adjustment of a univariate geostatistical model of the ratio between catch and effort; and (2) a bivariate model in which catch and effort are simultaneously modeled. The estimates obtained from both models presented close results suggesting that there is no advantage in using the bivariate model for estimating the index and indicating that the univariate model is preferred. (C) 2012 Elsevier B.V. All rights reserved.en
dc.description.affiliationUniversidade Federal de São Carlos (UFSCar), BR-18052780 Sorocaba, SP, Brazil
dc.description.affiliationESALQ USP, Dept Ciencias Exatas, BR-13418900 Piracicaba, SP, Brazil
dc.description.affiliationUNESP, Dept Ecol, BR-13506900 Rio Claro, SP, Brazil
dc.description.affiliationFisheries Res Agcy, Natl Res Inst Far Seas Fisheries, Shimizu Ward, Shizuoka 4248633, Japan
dc.description.affiliationUnespUNESP, Dept Ecol, BR-13506900 Rio Claro, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent115-125
dc.identifierhttp://dx.doi.org/10.1016/j.fishres.2012.01.018
dc.identifier.citationFisheries Research. Amsterdam: Elsevier B.V., v. 121, p. 115-125, 2012.
dc.identifier.doi10.1016/j.fishres.2012.01.018
dc.identifier.issn0165-7836
dc.identifier.urihttp://hdl.handle.net/11449/20547
dc.identifier.wosWOS:000304222700012
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofFisheries Research
dc.relation.ispartofjcr1.874
dc.relation.ispartofsjr0,941
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectBayesian inferenceen
dc.subjectGeostatistical modelsen
dc.subjectCpueen
dc.subjectSimulationen
dc.titleComparison between univariate and bivariate geostatistical models for estimating catch per unit of effort (cpue): A simulation studyen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Rio Claropt
unesp.departmentEcologia - IBpt

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