Robust inference in partially linear models with missing responses

We consider robust testing on the regression parameter of a partially linear regression model, where missing responses are allowed. We derive the asymptotic behavior of the proposed test statistic under the null and contiguous alternatives. A numerical study is performed. © 2014 Elsevier B.V.

Detalles Bibliográficos
Autores principales: Bianco, Ana María, Boente, Graciela Lina
Publicado: 2015
Materias:
Hypothesis testing
Kernel weights
M-location functionals
Missing at random
Partly linear models
Robust estimation
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01677152_v97_n_p88_Bianco
http://hdl.handle.net/20.500.12110/paper_01677152_v97_n_p88_Bianco
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_01677152_v97_n_p88_Bianco
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spelling paper:paper_01677152_v97_n_p88_Bianco2023-06-08T15:16:52Z Robust inference in partially linear models with missing responses Bianco, Ana María Boente, Graciela Lina Hypothesis testing Kernel weights M-location functionals Missing at random Partly linear models Robust estimation We consider robust testing on the regression parameter of a partially linear regression model, where missing responses are allowed. We derive the asymptotic behavior of the proposed test statistic under the null and contiguous alternatives. A numerical study is performed. © 2014 Elsevier B.V. Fil:Bianco, A.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Boente, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01677152_v97_n_p88_Bianco http://hdl.handle.net/20.500.12110/paper_01677152_v97_n_p88_Bianco
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Hypothesis testing
Kernel weights
M-location functionals
Missing at random
Partly linear models
Robust estimation
spellingShingle Hypothesis testing
Kernel weights
M-location functionals
Missing at random
Partly linear models
Robust estimation
Bianco, Ana María
Boente, Graciela Lina
Robust inference in partially linear models with missing responses
topic_facet Hypothesis testing
Kernel weights
M-location functionals
Missing at random
Partly linear models
Robust estimation
description We consider robust testing on the regression parameter of a partially linear regression model, where missing responses are allowed. We derive the asymptotic behavior of the proposed test statistic under the null and contiguous alternatives. A numerical study is performed. © 2014 Elsevier B.V.
author Bianco, Ana María
Boente, Graciela Lina
author_facet Bianco, Ana María
Boente, Graciela Lina
author_sort Bianco, Ana María
title Robust inference in partially linear models with missing responses
title_short Robust inference in partially linear models with missing responses
title_full Robust inference in partially linear models with missing responses
title_fullStr Robust inference in partially linear models with missing responses
title_full_unstemmed Robust inference in partially linear models with missing responses
title_sort robust inference in partially linear models with missing responses
publishDate 2015
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01677152_v97_n_p88_Bianco
http://hdl.handle.net/20.500.12110/paper_01677152_v97_n_p88_Bianco
work_keys_str_mv AT biancoanamaria robustinferenceinpartiallylinearmodelswithmissingresponses
AT boentegracielalina robustinferenceinpartiallylinearmodelswithmissingresponses
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