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Nonparametric regression function estimation with surrogate data and validation sampling

Wang, Qihua

Description

This paper develops estimation approaches for nonparametric regression analysis with surrogate data and validation sampling when response variables are measured with errors. Without assuming any error model structure between the true responses and the surrogate variables, a regression calibration kernel regression estimate is defined with the help of validation data. The proposed estimator is proved to be asymptotically normal and the convergence rate is also derived. A simulation study is...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Journal article
URI: http://hdl.handle.net/1885/24079
Source: Journal of Multivariate Analysis
DOI: 10.1016/j.jmva.2005.05.008

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