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AIMS Mathematics

2024, Volume 9, Issue 8: 23088-23099. doi: 10.3934/math.20241122
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Research article

Weighted expectile average estimation based on CBPS with responses missing at random

  • 1.
    School of Mathematics and Statistics, Shandong Normal University, Jinan 250014, China
  • 2.
    Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada
  • Received: 22 February 2024 Revised: 08 July 2024 Accepted: 22 July 2024 Published: 29 July 2024

  • MSC : 62F10, 62F12

  • An improved weighted expectile average estimator for the regression coefficient has been obtained based on the covariate balancing propensity score (CBPS), when the responses of linear models are missing at random. The asymptotic normality of the proposed method has been proved, and the estimation effect of the method is further illustrated by numerical simulation.

    Citation: Qiang Zhao, Zhaodi Wang, Jingjing Wu, Xiuli Wang. Weighted expectile average estimation based on CBPS with responses missing at random[J]. AIMS Mathematics, 2024, 9(8): 23088-23099. doi: 10.3934/math.20241122

    Related Papers:

  • An improved weighted expectile average estimator for the regression coefficient has been obtained based on the covariate balancing propensity score (CBPS), when the responses of linear models are missing at random. The asymptotic normality of the proposed method has been proved, and the estimation effect of the method is further illustrated by numerical simulation.



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  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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