Asymptotic normality and mean consistency of LS estimators in the errors-in-variables model with dependent errors

DOI10.1515/math-2020-0052zbMath1475.62118OpenAlexW3085936824MaRDI QIDQ2053435

Xinsheng Liu, Yuncai Yu, Yu Zhang, Hong Chang Hu

Publication date: 29 November 2021

Published in: Open Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/math-2020-0052

zbMATH Keywords

strong law of large numbersasymptotic normalitymean consistencyerrors-in-variables modelnegatively superadditive dependent

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05) Central limit and other weak theorems (60F05)

Related Items

On a class of linear regression methods

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