Robust estimation for nonparametric generalized regression

This paper focuses on nonparametric regression estimation for the parameters of a discrete or continuous distribution, such as the Poisson or Gamma distributions, when anomalous data are present. The proposal is a natural extension of robust methods developed in the setting of parametric generalized...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Bianco, A.M
Otros Autores: Boente, G., Sombielle, S.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2011
Acceso en línea:Registro en Scopus
DOI
Handle
Registro en la Biblioteca Digital
Aporte de:Registro referencial: Solicitar el recurso aquí
LEADER 06969caa a22007097a 4500
001 PAPER-10098
003 AR-BaUEN
005 20230518204006.0
008 190411s2011 xx ||||fo|||| 00| 0 eng|d
024 7 |2 scopus  |a 2-s2.0-80053174259 
040 |a Scopus  |b spa  |c AR-BaUEN  |d AR-BaUEN 
030 |a SPLTD 
100 1 |a Bianco, A.M. 
245 1 0 |a Robust estimation for nonparametric generalized regression 
260 |c 2011 
270 1 0 |m Boente, G.; Instituto de Cálculo, Ciudad Universitaria, Pabellón 2, Buenos Aires, C1428EHA, Argentina; email: gboente@dm.uba.ar 
506 |2 openaire  |e Política editorial 
504 |a Bianco, A.M., Boente, G., Sombielle, S., (2011), http://www.ic.fcen.uba.ar/preprints.html, Robust nonparametric generalized regression estimation. Available at:; Bianco, A., García Ben, M., Yohai, V., Robust estimation for linear regression with asymmetric errors (2005) Canad. J. Statist., 33, pp. 511-528 
504 |a Bianco, A., Yohai, V., Robust Estimation in the Logistic Regression Model (1996) Lecture Notes in Statist., 109, pp. 17-34. , Springer-Verlag, New York 
504 |a Boente, G., Fraiman, R., Robust nonparametric regression estimation (1989) J. Multivariate Anal., 29, pp. 180-198 
504 |a Boente, G., Fraiman, R., A functional approach to robust nonparametric regression (1991) The IMA Volumes in Mathematics and its Applications, 33, pp. 35-46. , W. Stahel, S. Weisberg (Eds.) Directions in Robust Statistics and Diagnostics 
504 |a Boente, G., Fraiman, R., Meloche, J., Robust plug-in bandwidth estimators in nonparametric regression (1997) J. Statist. Plann. Inference, 57, pp. 109-142 
504 |a Boos, D., Serfling, J., A note on differentials and the CLT and LIL for statistical functions, with applications to M-estimates (1980) Ann. Statist., 8, pp. 618-624 
504 |a Brown, L.D., Cai, T., Zhou, H., Nonparametric regression in exponential families (2010) Ann. Statist., 38, pp. 2005-2046 
504 |a Cantoni, E., Ronchetti, E., Robust inference for generalized linear models (2001) J. Amer. Statist. Assoc., 96, pp. 1022-1030 
504 |a Cantoni, E., Ronchetti, E., Resistant selection of the smoothing parameter for smoothing splines (2001) Stat. Comput., 11, pp. 141-146 
504 |a Cleveland, W., Robust locally weighted regression and smoothing scatterplots (1979) J. Amer. Statist. Assoc., 74, pp. 829-836 
504 |a Cleveland, W., Devlin, S., Locally weighted regression: an approach to regression analysis by local fitting (1988) J. Amer. Statist. Assoc., 83, pp. 596-610 
504 |a Copas, J.B., Plotting p against x (1983) J. Appl. Stat., 32, pp. 25-31 
504 |a Croux, C., Haesbroeck, G., Implementing the Bianco and Yohai estimator for logistic regression (2003) Comput. Statist. Data Anal., 44, pp. 273-295 
504 |a Fowlkes, E.B., Some diagnostics for binary logistic regression via smoothing (1987) Biometrika, 74, pp. 503-516 
504 |a Gasser, T., Müller, H.G., Estimating regression functions and their derivatives by the kernel method (1984) Scand. J. Statist., 11, pp. 171-185 
504 |a Georgiev, A., Consistent nonparametric multiple regression: the fixed design case (1988) J. Multivariate Anal., 25, pp. 100-110 
504 |a Härdle, W., Robust regression function estimation (1984) J. Multivariate Anal., 14, pp. 169-180 
504 |a Härdle, W., Applied Nonparametric Regression (1990) Econometric Society Monographs, , Cambridge University Press 
504 |a Härdle, W., Gasser, T., Robust nonparametric function fitting (1984) J. Roy. Statist. Soc. Ser. B, 46, pp. 42-51 
504 |a Härdle, W., Müler, M., Sperlich, S., Werwatz, A., Nonparametric and Semiparametric Models (2004) Springer Series in Statistics, , Springer Press, Germany 
504 |a Härdle, W., Tsybakov, A., Robust nonparametric regression with simultaneous scale curve estimation (1988) Ann. Statist., 16, pp. 120-135 
504 |a Huber, P., (1967), 1, pp. 221-233. , The behaviour of maximum likelihood estimates under nonstandard conditions, in: Proc. 6th Berkeley Symp; Künsch, H., Stefanski, L., Carroll, R., Conditionally unbiased bounded-influence estimation in general regression models with applications to generalized linear models (1989) J. Amer. Statist. Assoc., 84, pp. 460-466 
504 |a Leung, D., Cross-validation in nonparametric regression with outliers (2005) Ann. Statist., 3, pp. 2291-2310 
504 |a Leung, D., Marrot, F., Wu, E., Bandwidth selection in robust smoothing (1993) J. Nonparametr. Stat., 4, pp. 333-339 
504 |a Nelder, J.A., Wedderburn, R., Generalized linear models (1972) J. Roy. Statist. Soc. Ser. A, 135, pp. 370-384 
504 |a Shorack, G., Wellner, J., (1986) Empirical Processes with Applications to Statistics, , Wiley, New York 
504 |a Wang, F., Scott, D., The L1 method for robust nonparametric regression (1994) J. Amer. Statist. Assoc., 89, pp. 65-76 
520 3 |a This paper focuses on nonparametric regression estimation for the parameters of a discrete or continuous distribution, such as the Poisson or Gamma distributions, when anomalous data are present. The proposal is a natural extension of robust methods developed in the setting of parametric generalized linear models. Robust estimators bounding either large values of the deviance or of the Pearson residuals are introduced and their asymptotic behaviour is derived. Through a Monte Carlo study, for the Poisson and Gamma distributions, the finite properties of the proposed procedures are investigated and their performance is compared with that of the classical ones. A resistant cross-validation method to choose the smoothing parameter is also considered. © 2011 Elsevier B.V.  |l eng 
593 |a FCEyN, Universidad de Buenos Aires, Argentina 
593 |a CONICET, Argentina 
593 |a Universidad Tecnológica Nacional, Argentina 
690 1 0 |a ASYMPTOTIC PROPERTIES 
690 1 0 |a NONPARAMETRIC GENERALIZED REGRESSION 
690 1 0 |a ROBUST ESTIMATION 
690 1 0 |a SMOOTHING TECHNIQUES 
700 1 |a Boente, G. 
700 1 |a Sombielle, S. 
773 0 |d 2011  |g v. 81  |h pp. 1986-1994  |k n. 12  |p Stat. Probab. Lett.  |x 01677152  |w (AR-BaUEN)CENRE-6916  |t Statistics and Probability Letters 
856 4 1 |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053174259&doi=10.1016%2fj.spl.2011.08.007&partnerID=40&md5=3ef6564452034eca59c02d33dabbf094  |y Registro en Scopus 
856 4 0 |u https://doi.org/10.1016/j.spl.2011.08.007  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_01677152_v81_n12_p1986_Bianco  |y Handle 
856 4 0 |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01677152_v81_n12_p1986_Bianco  |y Registro en la Biblioteca Digital 
961 |a paper_01677152_v81_n12_p1986_Bianco  |b paper  |c PE 
962 |a info:eu-repo/semantics/article  |a info:ar-repo/semantics/artículo  |b info:eu-repo/semantics/publishedVersion 
999 |c 71051