Show simple item record

dc.contributor.authorMartínez-Silva, Isabel
dc.contributor.authorRoca-Pardiñas, Javier
dc.contributor.authorLustres-Pérez, Vicente
dc.contributor.authorLorenzo-Arribas, Altea
dc.contributor.authorCadarso-Suárez, Carmen
dc.date.accessioned2013-09-10T11:16:51Z
dc.date.available2013-09-10T11:16:51Z
dc.date.issued2013
dc.identifier.citationMartínez-Silva, Isabel [et al.]. Flexible quantile regression models: application to the study of the purple sea urchin. "SORT", vol. 37, núm. 1, p. 81-94.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2099/13770
dc.description.abstractIn many applications, it is often of interest to assess the possible relationships between covariates and quantiles of a response variable through a regression model. In some instances, the effects of continuous covariates on the outcome are highly nonlinear. Consequently, appropriate modelling has to take such flexible smooth effects into account. In this work, various flexible quantile regression techniques were reviewed and compared by simulation. Finally, all the techniques were used to construct the overall zone specific reference curves of morphologic measures of sea urchin Paracentrotus lividus (Lamarck, 1816) located in NW Spain
dc.format.extent14 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.relation.ispartofSORT. 2013, vol. 37, núm. 1
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.otherboosting
dc.subject.otherquantile regression
dc.subject.otherreference curves
dc.subject.othersmoothness
dc.titleFlexible quantile regression models: application to the study of the purple sea urchin
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::62J Linear inference, regression
dc.subject.amsClassificació AMS::62 Statistics::62P Applications
dc.rights.accessOpen Access
local.citation.authorMartínez-Silva, Isabel; Roca-Pardiñas, Javier; Lustres-Pérez, Vicente; Lorenzo-Arribas, Altea; Cadarso-Suárez, Carmen
local.citation.publicationNameSORT
local.citation.volume37
local.citation.number1
local.citation.startingPage81
local.citation.endingPage94


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain