Journal of Jilin University Science Edition

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Empirical Likelihood Inference for MeasurementError Model with Multiple Populations

YUAN Xiaohui1, LIU Tianqing2   

  1. 1. School of Basic Science, Changchun University of Technology, Changchun 130012, China;2. Collge of Mathematics, Jilin University, Changchun 130012, China
  • Received:2015-07-06 Online:2016-03-26 Published:2016-03-23
  • Contact: LIU Tianqing E-mail:tqliu@jlu.edu.cn

Abstract:

We used the empirical likelihood method to obtain estimators of the population parameters and cumulative distribution function (CDF) for measurement error model with multiple populations. Our estimator of CDF is asymptotically unbiased and utilizes all the available sample information. Then we
applied the empirical likelihood to the NS sampling model and obtained the efficient estimation of the common mean and CDF. Simulation study further demonstrates the good properties of our estimators.

Key words: cumulative distribution function, efficient, empirical likelihood, measurement error, multiple populations

CLC Number: 

  • O212.4