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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100 1 |a Bianco, A. 
245 1 0 |a Asymptotic behavior of robust estimators in partially linear models with missing responses: The effect of estimating the missing probability on the simplified marginal estimators 
260 |c 2011 
270 1 0 |m Pérez-González, A.; Departamento de Estadística e Investigación Operativa, Universidad de Vigo, Campus Orense. Campus Universitario As Lagoas s/n, 32004 Ourense, Spain; email: anapg@uvigo.es 
506 |2 openaire  |e Política editorial 
504 |a Bianco, A., Boente, G., Robust estimators in semiparametric partly linear regression models (2004) J Stat Plan Inference, 122, pp. 229-252 
504 |a Bianco, A., Martínez, E., Robust testing in the logistic regression model (2009) Comput Stat Data Anal, 53, pp. 4095-4105 
504 |a Bianco, A., Yohai, V., (1996) Robust Estimation in the Logistic Regression Model, 109, pp. 17-34. , Lecture notes in statistics, New York: Springer 
504 |a 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 
504 |a 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 
504 |a Boente, G., He, X., Zhou, J., Robust estimates in generalized partially linear models (2006) Ann Stat, 34, pp. 2856-2878 
504 |a Boente, G., González-Manteiga, W., Pérez-González, A., Robust nonparametric estimation with missing data (2009) J Stat Plan Inference, 139, pp. 571-592 
504 |a Croux, C., Haesbroeck, G., Implementing the Bianco and Yohai estimator for logistic regression (2003) Comput Stat Data Anal, 44, pp. 273-295 
504 |a Härdle, W., Liang, H., Gao, J., (2000) Partially Linear Models, , Berlin: Springer 
504 |a He, X., Zhu, Z., Fung, W., Estimation in a semiparametric model for longitudinal data with unspecified dependence structure (2002) Biometrika, 89, pp. 579-590 
504 |a Huber, P., (1981) Robust Statistics, , New York: Wiley 
504 |a Maronna, R., Martin, D., Yohai, V., (2006) Robust Statistics: Theory and Methods, , New York: Wiley 
504 |a Pierce, D., The asymptotic effect of substituting estimators for parameters in certain types of statistics (1982) Ann Stat, 10, pp. 475-478 
504 |a Pollard, D., (1984) Convergence of Stochastic Processes, , New York: Springer 
504 |a Robins, J., Rotnitzky, A., Zhao, L., Estimation of regression coefficients when some regressors are not always observed (1994) J Am Stat Assoc, 89, pp. 846-866 
504 |a Robins, J., Rotnitzky, A., Zhao, L., Analysis of semiparametric regression models for repeated outcomes in the presence of missing data (1995) J Am Stat Assoc, 90, pp. 106-121 
504 |a Rosenbaum, P., Model-based direct adjustment (1987) J Am Stat Assoc, 82, pp. 387-394 
504 |a Severini, T., Staniswalis, J., Quasi-likelihood estimation in semiparametric models (1994) J Am Stat Assoc, 89, pp. 501-511 
504 |a van der Vaart, A., Wellner, J., (1996) Weak Convergence and Empirical Processes. With Applications to Statistics, , New York: Springer 
504 |a Wang, Q., Sun, Z., Estimation in partially linear models with missing responses at random (2007) J Multivar Anal, 98, pp. 1470-1493 
504 |a Wang, C., Wang, S., Zhao, L., Ou, S., Weighted semiparametric estimation in regression analysis regression with missing covariates data (1997) J Am Stat Assoc, 92, pp. 512-525 
504 |a Wang, C., Wang, S., Gutierrez, R., Carroll, R., Local linear regression for generalized linear models with missing data (1998) Ann Stat, 26, pp. 1028-1050 
504 |a Wang, Q., Linton, O., Härdle, W., Semiparametric regression analysis with missing response at random (2004) J Am Stat Assoc, 99 (466), pp. 334-345 
520 3 |a 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.  |l eng 
536 |a Detalles de la financiación: MTM2008-03010 
536 |a Detalles de la financiación: Universidad de Buenos Aires 
536 |a Detalles de la financiación: Agencia Nacional de Promoción Científica y Tecnológica, X-018 
536 |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas, PICT 0821 
536 |a Detalles de la financiación: Federación Española de Enfermedades Raras, FEDER 
536 |a Detalles de la financiación: Acknowledgements This work began while Ana Bianco and Graciela Boente were visiting the Departa-mento de Estadística e Investigación Operativa de la Universidad de Santiago de Compostela. This research was partially supported by Grants PIP 112-200801-00216 from CONICET, PICT 0821 from ANPCYT and X-018 from the Universidad de Buenos Aires at Buenos Aires, Argentina and also by the DGICYT Spanish Grant MTM2008-03010 (European FEDER support included). We also wish to thank two anonymous referees and the Associate Editor for valuable comments which led to an improved version of the original paper. 
593 |a Departamento de Matemáticas and Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and CONICET, Ciudad Universitaria, Pabellón 2, Buenos Aires 1428, Argentina 
593 |a Departamento de Estatística e Investigación Operativa, Facultad de Matemáticas, Universidad de Santiago de Compostela, Campus Sur., 15706 Santiago de Compostela, Spain 
593 |a Departamento de Estadística e Investigación Operativa, Universidad de Vigo, Campus Orense. Campus Universitario As Lagoas s/n, 32004 Ourense, Spain 
690 1 0 |a FISHER-CONSISTENCY 
690 1 0 |a KERNEL WEIGHTS 
690 1 0 |a M-LOCATION FUNCTIONALS 
690 1 0 |a MISSING AT RANDOM 
690 1 0 |a NONPARAMETRIC REGRESSION 
690 1 0 |a ROBUST ESTIMATION 
700 1 |a Boente, G. 
700 1 |a González-Manteiga, W. 
700 1 |a Pérez-González, A. 
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