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The Local Linear -Estimation with Missing Response Data

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  • Shuanghua Luo
  • Cheng-Yi Zhang
  • Fengmin Xu

Abstract

This paper studies the nonparametric regressive function with missing response data. Three local linear -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 -estimator is not superior to the other two local linear -estimators.

Suggested Citation

  • Shuanghua Luo & Cheng-Yi Zhang & Fengmin Xu, 2014. "The Local Linear -Estimation with Missing Response Data," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-10, June.
    • Handle: RePEc:hin:jnljam:398082
    DOI: 10.1155/2014/398082
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