%0 Journal Article %A ZHANG Jun\ZHOU NanGuang\CHU TianYue\LIN HanLing %T Estimation for Partially Linear Errors-in-Variable Models %D 2018 %R 10.3969/j.issn.1001-4268.2018.01.002 %J CHINESE JOURNAL OF APPLIED PROBABILITY AND STATISTICS %P 8-20 %V 34 %N 1 %X

In this paper, we consider the estimation problem
for partially linear models with additive measurement errors in the
nonparametric part. Two kinds of estimators are proposed. The first one
is an integral moment-based estimator with deconvolution kernel techniques,
associated with the strong consistency for the estimator. Another one
is a simulation-based estimator to avoid the integrals involved in the
integral moment-based estimator. Simulation studies are conducted to
examine the performance of the proposed estimators.

%U http://aps.ecnu.edu.cn/EN/10.3969/j.issn.1001-4268.2018.01.002