Mostrar el registro sencillo del ítem

dc.contributor.authorRivas Martínez, Gustavo Ignacio
dc.contributor.authorJiménez Gamero, María Dolores
dc.date.accessioned2024-07-17T21:31:00Z
dc.date.available2024-07-17T21:31:00Z
dc.date.issued2017-09-06
dc.identifier.citationRivas Martínez, G. I., & Jiménez Gamero, M. D. (2020). Computationally efficient approximations for independence tests in non-parametric regression. Journal of Statistical Computation and Simulation, 91(6), 1134-1154. https://doi.org/10.1080/00949655.2020.1843038en
dc.identifier.otherhttps://doi.org/10.1080/00949655.2020.1843038es
dc.identifier.urihttp://hdl.handle.net/20.500.14066/4433
dc.descriptionCorrespondence: gusyri@hotmail.comen
dc.description.abstractSeveral procedures have been proposed for testing the equality of error distributions in two or more nonparametric regression models. Here we deal with methods based on comparing estimators of the cumulative distribution function (CDF) of the errors in each population to an estimator of the common CDF under the null hypothesis. The null distribution of the associated test statistics has been approximated by means of a smooth bootstrap (SB) estimator. This paper proposes to approximate their null distribution through a weighted bootstrap. It is shown that it produces a consistent estimator. The finite sample performance of this approximation is assessed by means of a simulation study, where it is also compared to the SB. This study reveals that, from a computational point of view, the proposed approximation is more efficient than the one provided by the SB.es
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.language.isoenges
dc.publisherTaylor & Francises
dc.subject.otherComputational efficiencyes
dc.subject.otherConsistencyes
dc.subject.otherNonparametric modelses
dc.subject.otherRegression residualses
dc.subject.otherWeighted bootstrapes
dc.titleA weighted bootstrap approximation for comparing the error distributions in nonparametric regressiones
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1080/00949655.2017.1373776es
dc.description.fundingtextPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Programa de Vinculación de Científicos y Tecnólogoses
dc.identifier.essn1563-5163es
dc.issue.number18es
dc.journal.titleJournal of Statistical Computation and Simulationes
dc.page.initial3503es
dc.page.final3520es
dc.relation.projectCONACYTPVCT16-48es
dc.rights.accessRightsinfo:eu-repo/semantics/closedAccesses
dc.rights.copyright© Taylor & Francises
dc.volume.number87es


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

  • Artículos científicos
    La colección comprende artículos científicos, revisiones y artículos de conferencia que son resultados de actividades científicas y de innovación financiadas por los programas PROCIENCIA y PROINNOVA.

Mostrar el registro sencillo del ítem