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Estimation in linear mixed models for longitudinal data under linear restricted conditions

机译:线性限制条件下纵向数据的线性混合模型估计

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摘要

In the paper, we consider a linear mixed model (LMM) for longitudinal data under linear restriction and find the estimators for the parameters of interest. The strong consistency and asymptotic normality of the estimators are obtained under some regularity conditions. Besides, we derive the strong consistent estimator of the fourth moment for the error which is useful for statistical inference for random effects and error variance. Simulations and an example are reported for illustration.
机译:在本文中,我们考虑了线性约束下纵向数据的线性混合模型(LMM),并找到了感兴趣参数的估计量。在某些规律性条件下,获得了估计的强一致性和渐近正态性。此外,我们得出了误差的第四矩的强一致性估计,这对于随机效应和误差方差的统计推断很有用。报告了仿真和示例以进行说明。

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