Estimation of the marginal location under a partially linear model with missing responses

Autores
Bianco, Ana Maria; Boente Boente, Graciela Lina; González Manteiga, Wenceslao; Pérez González, Ana
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, we consider a semiparametric partially linear regression model where there are missing data in the response. We propose robust Fisher-consistent estimators for the regression parameter, for the regression function and for the marginal location parameter of the response variable. A robust cross-validation method is briefly discussed, although, from our numerical results, the marginal estimators seem not to be sensitive to the bandwidth parameter. Finally, a Monte Carlo study is carried out to compare the performance of the robust proposed estimators among themselves and also with the classical ones, for normal and contaminated samples, under different missing data models. An example based on a real data set is also discussed.
Fil: Bianco, Ana Maria. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Boente Boente, Graciela Lina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina
Fil: González Manteiga, Wenceslao. Universidad de Santiago de Compostela; España
Fil: Pérez González, Ana. Universidad de Vigo; España
Materia
Fisher--consistency
Kernel Weights
M-location Functionals
Missing at Random
Nonparametric Regression
Robust Estimation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/160246
Acceder
id CONICETDig_50eb3301ec4afa5fe577dcd0ee75c24f
oai_identifier_str oai:ri.conicet.gov.ar:11336/160246
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Estimation of the marginal location under a partially linear model with missing responsesBianco, Ana MariaBoente Boente, Graciela LinaGonzález Manteiga, WenceslaoPérez González, AnaFisher--consistencyKernel WeightsM-location FunctionalsMissing at RandomNonparametric RegressionRobust Estimationhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1In this paper, we consider a semiparametric partially linear regression model where there are missing data in the response. We propose robust Fisher-consistent estimators for the regression parameter, for the regression function and for the marginal location parameter of the response variable. A robust cross-validation method is briefly discussed, although, from our numerical results, the marginal estimators seem not to be sensitive to the bandwidth parameter. Finally, a Monte Carlo study is carried out to compare the performance of the robust proposed estimators among themselves and also with the classical ones, for normal and contaminated samples, under different missing data models. An example based on a real data set is also discussed.Fil: Bianco, Ana Maria. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Boente Boente, Graciela Lina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; ArgentinaFil: González Manteiga, Wenceslao. Universidad de Santiago de Compostela; EspañaFil: Pérez González, Ana. Universidad de Vigo; EspañaElsevier Science2010-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/160246Bianco, Ana Maria; Boente Boente, Graciela Lina; González Manteiga, Wenceslao; Pérez González, Ana; Estimation of the marginal location under a partially linear model with missing responses; Elsevier Science; Computational Statistics and Data Analysis; 54; 2; 2-2010; 546-5640167-9473CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.csda.2009.09.028info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0167947309003582info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:52:36Zoai:ri.conicet.gov.ar:11336/160246instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:52:36.791CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Estimation of the marginal location under a partially linear model with missing responses
title Estimation of the marginal location under a partially linear model with missing responses
spellingShingle Estimation of the marginal location under a partially linear model with missing responses
Bianco, Ana Maria
Fisher--consistency
Kernel Weights
M-location Functionals
Missing at Random
Nonparametric Regression
Robust Estimation
title_short Estimation of the marginal location under a partially linear model with missing responses
title_full Estimation of the marginal location under a partially linear model with missing responses
title_fullStr Estimation of the marginal location under a partially linear model with missing responses
title_full_unstemmed Estimation of the marginal location under a partially linear model with missing responses
title_sort Estimation of the marginal location under a partially linear model with missing responses
dc.creator.none.fl_str_mv Bianco, Ana Maria
Boente Boente, Graciela Lina
González Manteiga, Wenceslao
Pérez González, Ana
author Bianco, Ana Maria
author_facet Bianco, Ana Maria
Boente Boente, Graciela Lina
González Manteiga, Wenceslao
Pérez González, Ana
author_role author
author2 Boente Boente, Graciela Lina
González Manteiga, Wenceslao
Pérez González, Ana
author2_role author
author
author
dc.subject.none.fl_str_mv Fisher--consistency
Kernel Weights
M-location Functionals
Missing at Random
Nonparametric Regression
Robust Estimation
topic Fisher--consistency
Kernel Weights
M-location Functionals
Missing at Random
Nonparametric Regression
Robust Estimation
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this paper, we consider a semiparametric partially linear regression model where there are missing data in the response. We propose robust Fisher-consistent estimators for the regression parameter, for the regression function and for the marginal location parameter of the response variable. A robust cross-validation method is briefly discussed, although, from our numerical results, the marginal estimators seem not to be sensitive to the bandwidth parameter. Finally, a Monte Carlo study is carried out to compare the performance of the robust proposed estimators among themselves and also with the classical ones, for normal and contaminated samples, under different missing data models. An example based on a real data set is also discussed.
Fil: Bianco, Ana Maria. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Boente Boente, Graciela Lina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina
Fil: González Manteiga, Wenceslao. Universidad de Santiago de Compostela; España
Fil: Pérez González, Ana. Universidad de Vigo; España
description In this paper, we consider a semiparametric partially linear regression model where there are missing data in the response. We propose robust Fisher-consistent estimators for the regression parameter, for the regression function and for the marginal location parameter of the response variable. A robust cross-validation method is briefly discussed, although, from our numerical results, the marginal estimators seem not to be sensitive to the bandwidth parameter. Finally, a Monte Carlo study is carried out to compare the performance of the robust proposed estimators among themselves and also with the classical ones, for normal and contaminated samples, under different missing data models. An example based on a real data set is also discussed.
publishDate 2010
dc.date.none.fl_str_mv 2010-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/160246
Bianco, Ana Maria; Boente Boente, Graciela Lina; González Manteiga, Wenceslao; Pérez González, Ana; Estimation of the marginal location under a partially linear model with missing responses; Elsevier Science; Computational Statistics and Data Analysis; 54; 2; 2-2010; 546-564
0167-9473
CONICET Digital
CONICET
url http://hdl.handle.net/11336/160246
identifier_str_mv Bianco, Ana Maria; Boente Boente, Graciela Lina; González Manteiga, Wenceslao; Pérez González, Ana; Estimation of the marginal location under a partially linear model with missing responses; Elsevier Science; Computational Statistics and Data Analysis; 54; 2; 2-2010; 546-564
0167-9473
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.csda.2009.09.028
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0167947309003582
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269170394202112
score 13.13397

Publicaciones similares