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STRONG CONSISTENCY OF LS ESTIMATORS IN SIMPLE LINEAR EV REGRESSION MODELS WITH WOD ERRORS

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成果类型:
期刊论文
作者:
Yi Yanchun;Chen, Pingyan;Sung, Soo Hak*
通讯作者:
Sung, Soo Hak
作者机构:
[Yi Yanchun] Hengyang Normal Univ, Coll Math & Stat, Hengyang 421008, Peoples R China.
[Chen, Pingyan] Jinan Univ, Dept Math, Guangzhou 510630, Peoples R China.
[Sung, Soo Hak] Pai Chai Univ, Dept Appl Math, Daejeon 35345, South Korea.
通讯机构:
[Sung, Soo Hak] P
Pai Chai Univ, Dept Appl Math, Daejeon 35345, South Korea.
语种:
英文
关键词:
Strong consistency;simple linear errors-in-variables regression model;widely orthant dependent random variable
期刊:
JOURNAL OF MATHEMATICAL INEQUALITIES
ISSN:
1846-579X
年:
2021
卷:
15
期:
4
页码:
1533-1544
基金类别:
Acknowledgements. The authors would like to thank the referee for careful reading of the manuscript and valuable suggestions which helped in improving an earlier version of this paper. The research of Soo Hak Sung is supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1F1A1A01050160).
机构署名:
本校为第一机构
院系归属:
数学与统计学院
摘要:
For a simple linear errors-in-variables regression model with widely orthant dependent errors, we provide sufficient conditions for the convergence rate in the strong consistency of the least squares estimators. We also provide necessary conditions. Our result improves and extends some results of Liu et al. (J. Math. Ineq., 14 (2020), 771–779) © 2021. Journal...

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