On a robust local estimator for the scale function in heteroscedastic nonparametric regression
When the data used to fit an heteroscedastic nonparametric regression model are contaminated with outliers, robust estimators of the scale function are needed in order to obtain robust estimators of the regression function and to construct robust confidence bands. In this paper, local M-estimators o...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2010 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/69114 |
| Acceso en línea: | http://hdl.handle.net/11336/69114 |
| Access Level: | acceso abierto |
| Palabra clave: | Heteroscedasticity Local M-Estimators Nonparametric Regression Robust Estimation https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
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On a robust local estimator for the scale function in heteroscedastic nonparametric regressionBoente Boente, Graciela LinaRuiz, MarceloZamar, Ruben HoracioHeteroscedasticityLocal M-EstimatorsNonparametric RegressionRobust Estimationhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1When the data used to fit an heteroscedastic nonparametric regression model are contaminated with outliers, robust estimators of the scale function are needed in order to obtain robust estimators of the regression function and to construct robust confidence bands. In this paper, local M-estimators of the scale function based on consecutive differences of the responses, for fixed designs are considered. Under mild regularity conditions, the asymptotic behavior of the local M-estimators for general weight functions is derived.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"; ArgentinaFil: Ruiz, Marcelo. Universidad Nacional de Río Cuarto; ArgentinaFil: Zamar, Ruben Horacio. University of British Columbia; CanadáElsevier Science2010-08info: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/11336/69114Boente Boente, Graciela Lina; Ruiz, Marcelo; Zamar, Ruben Horacio; On a robust local estimator for the scale function in heteroscedastic nonparametric regression; Elsevier Science; Statistics & Probability Letters; 80; 15-16; 8-2010; 1185-11950167-7152CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.spl.2010.03.015info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0167715210000957info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:58:57Zoai:ri.conicet.gov.ar:11336/69114instacron: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:34982024-05-08 13:58:58.172CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
On a robust local estimator for the scale function in heteroscedastic nonparametric regression |
| title |
On a robust local estimator for the scale function in heteroscedastic nonparametric regression |
| spellingShingle |
On a robust local estimator for the scale function in heteroscedastic nonparametric regression Boente Boente, Graciela Lina Heteroscedasticity Local M-Estimators Nonparametric Regression Robust Estimation https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
| title_short |
On a robust local estimator for the scale function in heteroscedastic nonparametric regression |
| title_full |
On a robust local estimator for the scale function in heteroscedastic nonparametric regression |
| title_fullStr |
On a robust local estimator for the scale function in heteroscedastic nonparametric regression |
| title_full_unstemmed |
On a robust local estimator for the scale function in heteroscedastic nonparametric regression |
| title_sort |
On a robust local estimator for the scale function in heteroscedastic nonparametric regression |
| dc.creator.none.fl_str_mv |
Boente Boente, Graciela Lina Ruiz, Marcelo Zamar, Ruben Horacio |
| author |
Boente Boente, Graciela Lina |
| author_facet |
Boente Boente, Graciela Lina Ruiz, Marcelo Zamar, Ruben Horacio |
| author_role |
author |
| author2 |
Ruiz, Marcelo Zamar, Ruben Horacio |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Heteroscedasticity Local M-Estimators Nonparametric Regression Robust Estimation https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
| topic |
Heteroscedasticity Local M-Estimators Nonparametric Regression Robust Estimation https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
| description |
When the data used to fit an heteroscedastic nonparametric regression model are contaminated with outliers, robust estimators of the scale function are needed in order to obtain robust estimators of the regression function and to construct robust confidence bands. In this paper, local M-estimators of the scale function based on consecutive differences of the responses, for fixed designs are considered. Under mild regularity conditions, the asymptotic behavior of the local M-estimators for general weight functions is derived. |
| publishDate |
2010 |
| dc.date.none.fl_str_mv |
2010-08 |
| 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/11336/69114 Boente Boente, Graciela Lina; Ruiz, Marcelo; Zamar, Ruben Horacio; On a robust local estimator for the scale function in heteroscedastic nonparametric regression; Elsevier Science; Statistics & Probability Letters; 80; 15-16; 8-2010; 1185-1195 0167-7152 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/69114 |
| identifier_str_mv |
Boente Boente, Graciela Lina; Ruiz, Marcelo; Zamar, Ruben Horacio; On a robust local estimator for the scale function in heteroscedastic nonparametric regression; Elsevier Science; Statistics & Probability Letters; 80; 15-16; 8-2010; 1185-1195 0167-7152 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.spl.2010.03.015 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0167715210000957 |
| 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 |
| instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
| reponame_str |
CONICET Digital (CONICET) |
| collection |
CONICET Digital (CONICET) |
| 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 |
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1799195641589530624 |
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15,81155 |