Geodesic
Strong convergence for weighted sums of WOD random variables and its application in the EV regression model
Applications of Mathematics, Tome 69 (2024) no. 1, pp. 93-111.

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The strong convergence for weighted sums of widely orthant dependent (WOD) random variables is investigated. As an application, we further investigate the strong consistency of the least squares estimator in EV regression model for WOD random variables. A simulation study is carried out to confirm the theoretical results.
DOI : 10.21136/AM.2023.0004-23
Classification : 60F15, 62F12
Keywords: errors-in-variables regression model; least squares estimator; widely orthant dependent; strong consistency 
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Ding, Liwang; Jiang, Caoqing. Strong convergence for weighted sums of WOD random variables and its application in the EV regression model. Applications of Mathematics, Tome 69 (2024) no. 1, pp. 93-111. doi : 10.21136/AM.2023.0004-23. http://geodesic.mathdoc.fr/articles/10.21136/AM.2023.0004-23/

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