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Flexible quantile regression models: application to the study of the purple sea urchin
dc.contributor.author | Martínez-Silva, Isabel |
dc.contributor.author | Roca-Pardiñas, Javier |
dc.contributor.author | Lustres-Pérez, Vicente |
dc.contributor.author | Lorenzo-Arribas, Altea |
dc.contributor.author | Cadarso-Suárez, Carmen |
dc.date.accessioned | 2013-09-10T11:16:51Z |
dc.date.available | 2013-09-10T11:16:51Z |
dc.date.issued | 2013 |
dc.identifier.citation | Martínez-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.issn | 1696-2281 |
dc.identifier.uri | http://hdl.handle.net/2099/13770 |
dc.description.abstract | In 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.extent | 14 p. |
dc.language.iso | eng |
dc.publisher | Institut d'Estadística de Catalunya |
dc.relation.ispartof | SORT. 2013, vol. 37, núm. 1 |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
dc.subject.lcsh | Mathematical statistics |
dc.subject.other | boosting |
dc.subject.other | quantile regression |
dc.subject.other | reference curves |
dc.subject.other | smoothness |
dc.title | Flexible quantile regression models: application to the study of the purple sea urchin |
dc.type | Article |
dc.subject.lemac | Estadística matemàtica |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | Classificació AMS::62 Statistics::62G Nonparametric inference |
dc.subject.ams | Classificació AMS::62 Statistics::62J Linear inference, regression |
dc.subject.ams | Classificació AMS::62 Statistics::62P Applications |
dc.rights.access | Open Access |
local.citation.author | Martínez-Silva, Isabel; Roca-Pardiñas, Javier; Lustres-Pérez, Vicente; Lorenzo-Arribas, Altea; Cadarso-Suárez, Carmen |
local.citation.publicationName | SORT |
local.citation.volume | 37 |
local.citation.number | 1 |
local.citation.startingPage | 81 |
local.citation.endingPage | 94 |