Proceedings of the Third International Conference on Control, Automation and Systems Engineering (CASE-13)

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

Authors
Yafeng Xia, Yu Bai
Corresponding Author
Yafeng Xia
Available Online August 2013.
DOI
https://doi.org/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.
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Proceedings
Third International Conference on Control, Automation and Systems Engineering (CASE-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-81-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/case-13.2013.18How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - Third International Conference on Control, Automation and Systems Engineering (CASE-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/case-13.2013.18
DO  - https://doi.org/10.2991/case-13.2013.18
ID  - Xia2013/08
ER  -