Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables

2020 ◽  
Vol 35 (4) ◽  
pp. 1637-1658
Author(s):  
Yan-Ting Xiao ◽  
Fu-Xiao Li
Keyword(s):  
Errors In Variables ◽  
Missing Response ◽  
Varying Coefficient ◽  
Partially Linear ◽  
Response Variables

scholarly journals Jackknifing for partially linear varying-coefficient errors-in-variables model with missing response at random

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Yuye Zou ◽  
Chengxin Wu
Keyword(s):  
Normal Approximation ◽  
Likelihood Method ◽  
Errors In Variables ◽  
Missing Response ◽  
Varying Coefficient ◽  
Partially Linear ◽  
Coverage Probabilities ◽  
Interval Lengths ◽  
Mean Square Errors ◽  
Jackknife Empirical Likelihood

Abstract In this paper, we focus on the response mean of the partially linear varying-coefficient errors-in-variables model with missing response at random. A simulation study is conducted to compare jackknife empirical likelihood method with normal approximation method in terms of coverage probabilities and average interval lengths, and a comparison of the proposed estimators is done based on their biases and mean square errors.

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