Asymptotic behavior of general M-estimates for regression and scale with random carriers
- Autores
- Maronna, Ricardo Antonio; Yohai, Victor J.
- Año de publicación
- 1981
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Let (xini, y i be a sequence of independent identically distributed random variables, where x i ∃R pand y i ∃R, and let θ∃R pbe an unknown vector such that y i =x′ i θ+u i (*), where u i is independent of x i and has distribution function F(u/σ), where σ>0 is an unknown parameter. This paper deals with a general class of M-estimates of regression and scale, (θ *,σ*), defined as solutions of the system:∑iϕ(xi,ri)xi=0,∑iχ(|ri|)=0,, where r= (y i −x i 1θ*/σ)*, with Φ∶ R p ×R→R and χ∶ R→R. This class contains estimators of (θ, σ) proposed by Huber, Mallows and Krasker and Welsch. The consistency and asymptotic normality of the general M-estimators are proved assuming general regularity conditions on Φ and χ and assuming the joint distribution of (x i , y i ) to fulfill the model (*) only approximately.
Facultad de Ciencias Exactas - Materia
-
Ciencias Exactas
Matemática
M-estimates - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/131328
Ver los metadatos del registro completo
id |
SEDICI_e5cf836b9ad880ab779fe49cb787ddc3 |
---|---|
oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/131328 |
network_acronym_str |
SEDICI |
repository_id_str |
1329 |
network_name_str |
SEDICI (UNLP) |
spelling |
Asymptotic behavior of general M-estimates for regression and scale with random carriersMaronna, Ricardo AntonioYohai, Victor J.Ciencias ExactasMatemáticaM-estimatesLet (xini, y i be a sequence of independent identically distributed random variables, where x i ∃R pand y i ∃R, and let θ∃R pbe an unknown vector such that y i =x′ i θ+u i (*), where u i is independent of x i and has distribution function F(u/σ), where σ>0 is an unknown parameter. This paper deals with a general class of M-estimates of regression and scale, (θ *,σ*), defined as solutions of the system:∑iϕ(xi,ri)xi=0,∑iχ(|ri|)=0,, where r= (y i −x i 1θ*/σ)*, with Φ∶ R p ×R→R and χ∶ R→R. This class contains estimators of (θ, σ) proposed by Huber, Mallows and Krasker and Welsch. The consistency and asymptotic normality of the general M-estimators are proved assuming general regularity conditions on Φ and χ and assuming the joint distribution of (x i , y i ) to fulfill the model (*) only approximately.Facultad de Ciencias Exactas1981info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf7-20http://sedici.unlp.edu.ar/handle/10915/131328enginfo:eu-repo/semantics/altIdentifier/issn/0044-3719info:eu-repo/semantics/altIdentifier/issn/1432-2064info:eu-repo/semantics/altIdentifier/issn/0178-8051info:eu-repo/semantics/altIdentifier/doi/10.1007/bf00536192info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:32:37Zoai:sedici.unlp.edu.ar:10915/131328Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:32:38.04SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Asymptotic behavior of general M-estimates for regression and scale with random carriers |
title |
Asymptotic behavior of general M-estimates for regression and scale with random carriers |
spellingShingle |
Asymptotic behavior of general M-estimates for regression and scale with random carriers Maronna, Ricardo Antonio Ciencias Exactas Matemática M-estimates |
title_short |
Asymptotic behavior of general M-estimates for regression and scale with random carriers |
title_full |
Asymptotic behavior of general M-estimates for regression and scale with random carriers |
title_fullStr |
Asymptotic behavior of general M-estimates for regression and scale with random carriers |
title_full_unstemmed |
Asymptotic behavior of general M-estimates for regression and scale with random carriers |
title_sort |
Asymptotic behavior of general M-estimates for regression and scale with random carriers |
dc.creator.none.fl_str_mv |
Maronna, Ricardo Antonio Yohai, Victor J. |
author |
Maronna, Ricardo Antonio |
author_facet |
Maronna, Ricardo Antonio Yohai, Victor J. |
author_role |
author |
author2 |
Yohai, Victor J. |
author2_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Exactas Matemática M-estimates |
topic |
Ciencias Exactas Matemática M-estimates |
dc.description.none.fl_txt_mv |
Let (xini, y i be a sequence of independent identically distributed random variables, where x i ∃R pand y i ∃R, and let θ∃R pbe an unknown vector such that y i =x′ i θ+u i (*), where u i is independent of x i and has distribution function F(u/σ), where σ>0 is an unknown parameter. This paper deals with a general class of M-estimates of regression and scale, (θ *,σ*), defined as solutions of the system:∑iϕ(xi,ri)xi=0,∑iχ(|ri|)=0,, where r= (y i −x i 1θ*/σ)*, with Φ∶ R p ×R→R and χ∶ R→R. This class contains estimators of (θ, σ) proposed by Huber, Mallows and Krasker and Welsch. The consistency and asymptotic normality of the general M-estimators are proved assuming general regularity conditions on Φ and χ and assuming the joint distribution of (x i , y i ) to fulfill the model (*) only approximately. Facultad de Ciencias Exactas |
description |
Let (xini, y i be a sequence of independent identically distributed random variables, where x i ∃R pand y i ∃R, and let θ∃R pbe an unknown vector such that y i =x′ i θ+u i (*), where u i is independent of x i and has distribution function F(u/σ), where σ>0 is an unknown parameter. This paper deals with a general class of M-estimates of regression and scale, (θ *,σ*), defined as solutions of the system:∑iϕ(xi,ri)xi=0,∑iχ(|ri|)=0,, where r= (y i −x i 1θ*/σ)*, with Φ∶ R p ×R→R and χ∶ R→R. This class contains estimators of (θ, σ) proposed by Huber, Mallows and Krasker and Welsch. The consistency and asymptotic normality of the general M-estimators are proved assuming general regularity conditions on Φ and χ and assuming the joint distribution of (x i , y i ) to fulfill the model (*) only approximately. |
publishDate |
1981 |
dc.date.none.fl_str_mv |
1981 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo 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://sedici.unlp.edu.ar/handle/10915/131328 |
url |
http://sedici.unlp.edu.ar/handle/10915/131328 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/0044-3719 info:eu-repo/semantics/altIdentifier/issn/1432-2064 info:eu-repo/semantics/altIdentifier/issn/0178-8051 info:eu-repo/semantics/altIdentifier/doi/10.1007/bf00536192 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf 7-20 |
dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
reponame_str |
SEDICI (UNLP) |
collection |
SEDICI (UNLP) |
instname_str |
Universidad Nacional de La Plata |
instacron_str |
UNLP |
institution |
UNLP |
repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
_version_ |
1844616205873184768 |
score |
13.070432 |