Asymptotic Normality in Varying-Coefficient Errors-in-Variables Models with Missing Response Variables

DOI

10.2991/case-13.2013.18How to use a DOI?

Keywords

missing data; local linear least squares method; varying-coefficient models; errors-in-variables

Abstract

This article is concerned with the estimation of a varying-coefficient regression model when the explanatory variables are measured with additive errors and the response variable is sometimes missing. Estimated coefficient function in complete observational data and interpolation data respectively, and all the proposed estimators for the coefficient function are proved to be asymptotic normality. Finally, a simulation study is conducted to compare the proposed estimators.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yafeng Xia
AU  - Yu Bai
PY  - 2013/08
DA  - 2013/08
TI  - Asymptotic Normality in Varying-Coefficient Errors-in-Variables Models with Missing Response Variables
BT  - Proceedings of the Third International Conference on Control, Automation and Systems Engineering (CASE-13)
PB  - Atlantis Press
SP  - 72
EP  - 76
SN  - 1951-6851
UR  - https://doi.org/10.2991/case-13.2013.18
DO  - 10.2991/case-13.2013.18
ID  - Xia2013/08
ER  -