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Asymptotic normality and strong consistency of LS estimators in the EV regression model with NA errors

机译:具有NA误差的EV回归模型中LS估计的渐近正态性和强一致性

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摘要

In this article, the asymptotic normality and strong consistency of the least square estimators for the unknown parameters in the simple linear errors in variables model are established under the assumptions that the errors are stationary negatively associated sequences.
机译:在本文中,假设误差是平稳的负相关序列,建立了变量模型中简单线性误差中未知参数的最小二乘估计的渐近正态性和强一致性。

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