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The Effects of Covariance Structures on the Influence Analysis in Linear Mixed Models

机译:协方差结构对线性混合模型影响分析的影响

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Influence analysis is an important process of statistical diagnostics. Existing methods of influence analysis in linear mixed models mostly focus on the fixed effects underlying the framework of giving the covariance structures. In this paper, we discuss the effects of covariance structures on the influence analysis. Our study implies that mis-specification of covariance structures may lead mis-specification of influential subjects.
机译:影响分析是统计诊断的重要过程。线性混合模型中现有的影响分析方法主要集中在给出协方差结构框架的固定影响上。在本文中,我们讨论了协方差结构对影响分析的影响。我们的研究表明,协方差结构的错误指定可能会导致有影响力的主体的错误指定。

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