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

被引:6
作者
Yi Yanchun [1 ]
Chen, Pingyan [2 ]
Sung, Soo Hak [3 ]
机构
[1] Hengyang Normal Univ, Coll Math & Stat, Hengyang 421008, Peoples R China
[2] Jinan Univ, Dept Math, Guangzhou 510630, Peoples R China
[3] Pai Chai Univ, Dept Appl Math, Daejeon 35345, South Korea
来源
JOURNAL OF MATHEMATICAL INEQUALITIES | 2021年 / 15卷 / 04期
基金
新加坡国家研究基金会;
关键词
Strong consistency; simple linear errors-in-variables regression model; widely orthant dependent random variable; RANDOM-VARIABLES; WEIGHTED SUMS; WEAK CONSISTENCY; STRONG LAWS;
D O I
10.7153/jmi-2021-15-105
中图分类号
O29 [应用数学];
学科分类号
070104 ;
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.
引用
收藏
页码:1533 / 1544
页数:12
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