Asymptotic behavior of robust estimators in partially linear models with missing responses: The effect of estimating the missing probability on the simplified marginal estimators

In this paper, we consider a semiparametric partially linear regression model where missing data occur in the response. We derive the asymptotic behavior of the robust estimators for the regression parameter and of the weighted simplified location estimator introduced in Bianco et al. (Comput. Stat....

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Autor principal: Bianco, A.
Otros Autores: Boente, G., González-Manteiga, W., Pérez-González, A.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2011
Acceso en línea:Registro en Scopus
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Sumario:In this paper, we consider a semiparametric partially linear regression model where missing data occur in the response. We derive the asymptotic behavior of the robust estimators for the regression parameter and of the weighted simplified location estimator introduced in Bianco et al. (Comput. Stat. Data Anal. 54:546-564, 2010a). For the latter, consistency results and the asymptotic distribution are derived when the missing probability is known and also when it is estimated. © 2010 Sociedad de Estadística e Investigación Operativa.
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Bianco, A., Boente, G., González-Manteiga, W., Pérez-González, A., Estimation of the marginal location under a partially linear model with missing responses (2010) Comput Stat Data Anal, 54, pp. 546-564
Bianco, A., Boente, G., González-Manteiga, W., Pérez-González, A., (2010) Asymptotic Behavior of Robust Estimators In Partially Linear Models With Missing Responses: The Effect of Estimating the Missing Probability On the Simplified Marginal Estimators, , http://eio.usc.es/eipc1/BASE/BASEMASTER/FORMULARIOS-PHP-DPTO/REPORTS/10-01.pdf, Report 10-01. Reports in statistics and operations research. Universidad de Santiago de Compostela
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ISSN:11330686
DOI:10.1007/s11749-010-0216-0