Asymptotic Normality in Varying-Coefficient Errors-in-Variables Models with Missing Response Variables
Yafeng Xia, Yu Bai
Available Online August 2013.
- https://doi.org/10.2991/case-13.2013.18How to use a DOI?
- missing data; local linear least squares method; varying-coefficient models; errors-in-variables
- 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.
- 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 -