Empirical Likelihood Diagnosis of Varying Coefficient Errors-in-Variables Models with Longitudinal Data

Wang Shuling; Zheng Lin; Dai Jiangtao

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Empirical Likelihood Diagnosis of Varying Coefficient Errors-in-Variables Models with Longitudinal Data

Wang Shuling 1 * #,Zheng Lin 2,Dai Jiangtao 3

1.Department of Fundamental Course, Air Force Logistics College,Xuzhou221000

2.School of Statistics and Applied Mathematics,Anhui University of Finance and Economics,Bengbu233030

3.Fundamental Science Department,North China Institute of Astronautic Engineering,Langfang065000

*Correspondence author

#Submitted by

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Funding: none

Opened online: 3 June 2014

Accepted by: none

Citation: Wang Shuling,Zheng Lin,Dai Jiangtao.Empirical Likelihood Diagnosis of Varying Coefficient Errors-in-Variables Models with Longitudinal Data[OL]. [ 3 June 2014] http://en.paper.edu.cn/en_releasepaper/content/4598788

In this paper,we investigate the empirical likelihood diagnosis of varying coefficient errors-in-variables models with longitudinal data.The empirical log-likelihood ratios fro the time-varying coefficient function based on the global variance structures are introduced.First,the estimation equation based on empirical likelihood method are estabilished.Then,some diagnostic statistics are proposed.At last,Monte Carlo simulation is given to illustrate our results

Keywords: varying coefficient errors-in-variables model;empirical likelihood;outliers; influence analysis

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