The Local Linear M‐Estimation with Missing Response Data

Shuanghua Luo, Cheng-Yi Zhang and Fengmin Xu

Journal of Applied Mathematics, 2014, vol. 2014, issue 1

Abstract: This paper studies the nonparametric regressive function with missing response data. Three local linear M‐estimators with the robustness of local linear regression smoothers are presented such that they have the same asymptotic normality and consistency. Then finite‐sample performance is examined via simulation studies. Simulations demonstrate that the complete‐case data M‐estimator is not superior to the other two local linear M‐estimators.

Date: 2014
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https://doi.org/10.1155/2014/398082

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Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2014:y:2014:i:1:n:398082

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