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Asymptotic behavior of robust estimators in partially linear models with missing responses: The effect of estimating the missing probability on the simplified marginal estimators
Fecha
2011-11Registro en:
Bianco, Ana Maria; Boente Boente, Graciela Lina; Gonzalez Manteiga, Wenceslao; Perez Gonzalez, Ana; Asymptotic behavior of robust estimators in partially linear models with missing responses: The effect of estimating the missing probability on the simplified marginal estimators; Springer; Test; 20; 3; 11-2011; 524-548
1133-0686
Autor
Bianco, Ana Maria
Boente Boente, Graciela Lina
Gonzalez Manteiga, Wenceslao
Perez Gonzalez, Ana
Resumen
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.