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

Abstract

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.

Keywords

• Asymptotically normal
• Errors-in-variables
• Jackknife empirical likelihood
• Missing at random
• Partially linear varying-coefficient model