dc.contributorUniversidade Federal de São Carlos (UFSCar)
dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorFisheries 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.created2013-09-30T18:48:25Z
dc.date.created2014-05-20T13:57:39Z
dc.date.issued2012-06-01
dc.identifierFisheries Research. Amsterdam: Elsevier B.V., v. 121, p. 115-125, 2012.
dc.identifier0165-7836
dc.identifierhttp://hdl.handle.net/11449/20547
dc.identifier10.1016/j.fishres.2012.01.018
dc.identifierWOS:000304222700012
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.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationFisheries Research
dc.relation1.874
dc.relation0,941
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectBayesian inference
dc.subjectGeostatistical models
dc.subjectCpue
dc.subjectSimulation
dc.titleComparison between univariate and bivariate geostatistical models for estimating catch per unit of effort (cpue): A simulation study
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución