Robust methods in semiparametric estimation with missing responses

BIANCO, ANA; BOENTE, GRACIELA; GONZALEZ-MANTEIGA, WENCESLAO; PEREZ-GONZALEZ, ANA

Parma

Conferencia; International Conference on Robust Statistics (ICORS 2009); 2009

Facoltà di Economia, Universida degli Studi di Parma

Most of the statistical methods in nonparametric regression are designed for complete data sets and problems arise when missing obervations are present which is a common situation in biomedical or socioeconomic studies, for example. Classic examples are found in the field of social sciences with the problem of non-response in sample surveys, in Physics, in Genetics (Meng, 2000), among others. We will consider inference with an incomplete data set and three proposals for the marginal location under a partly linear regression model are considered.