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dc.contributor.authorLustres-Pérez, Vicente
dc.contributor.authorRodríguez-Álvarez, María Xosé
dc.contributor.authorPata, María P.
dc.contributor.authorFernández Pulpeiro, Eugenio
dc.contributor.authorCadarso-Suárez, Carmen
dc.date.accessioned2011-10-28T15:02:04Z
dc.date.available2011-10-28T15:02:04Z
dc.date.issued2010
dc.identifier.citationLustres-Pérez, Vicente; Rodríguez-Álvarez, María Xosé; Pata, María P. Application of receiver operating characteristic (ROC) methodology in biological studies on marine resources: sex determination of Paracentrotus lividus (Lamarck, 1816). "SORT", vol. 34, núm. 2, p. 239-248.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2099/11228
dc.description.abstractThe receiver operating characteristic (ROC) curve is usually used in biomedicine as an indicator of the accuracy of diagnostic tests. However, this measure of discrimination has been little used in other areas, such as animal biology or ecology. We present a novel application of an ROC analysis in which gonad colour was used to determine the sex of Paracentrotus lividus (Lamarck, 1816), a sea urchin of considerable commercial interest. A better classifier than gonad colour was obtained by transforming these colours through flexible logistic generalized additive models.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.relation.ispartofSORT. 2010, vol. 34, núm. 2
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshMathematical statistics
dc.subject.otherROC
dc.subject.otherGAM
dc.subject.otherParacentrotus lividus
dc.subject.otherBootstrap
dc.titleApplication of receiver operating characteristic (ROC) methodology in biological studies on marine resources: sex determination of Paracentrotus lividus (Lamarck, 1816)
dc.typeArticle
dc.subject.lemacEstadística matemàtica
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62G Nonparametric inference
dc.subject.amsClassificació AMS::62 Statistics::62H Multivariate analysis
dc.rights.accessOpen Access
local.citation.authorLustres-Pérez, Vicente; Rodríguez-Álvarez, María Xosé; Pata, María P.
local.citation.publicationNameSORT
local.citation.volume34
local.citation.number2
local.citation.startingPage239
local.citation.endingPage248


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