Strong Consistency of Least-Squares Estimators in the Simple Linear Errors-in-Variables Regression Model with Widely Orthant Dependent Random Variables

被引：1

作者：

Ding, Liwang ^{[1
]}

Jiang, Caoqing ^{[1
]}

机构：

[1] Guangxi Univ Finance & Econ, Sch Informat & Stat, Mingxiu West Rd 100, Nanning 530003, Peoples R China

来源：

MATHEMATICA SLOVACA | 2023年 / 73卷 / 03期

基金：

美国国家科学基金会;

关键词：

Errors-in-variables regression models; least square estimators; widely orthant dependent; strong consistency; LS ESTIMATORS; ASYMPTOTIC PROPERTIES; UNIFORM ASYMPTOTICS; CONVERGENCE;

D O I：

10.1515/ms-2023-0059

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, we establish some results on strong consistency for the least square estimator in a simple linear errors-in-variables regression models based on widely orthant dependent errors. The results obtained in the paper generalize or improve the corresponding ones for dependent random variables. We also carry out some simulation studies to verify the validity of our theoretical results.

引用

收藏

页码：811 / 824

页数：14

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