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On the tests for the equality of means in theintraclass correlation model with missing data

机译:关于数据缺失的类内相关模型中均值相等性的检验

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摘要

In this paper, testing for the equality of mean components and oftwo mean vectors in repeated measures with the intraclass correlation model aretreated when the missing observations occur. We consider a new test statisticfor the equality of mean components in one-sample problem. Further, we derivea new test statistic for the equality of two mean vectors. The distributions of thetest statistics are given under the general case of missing observations. Finally,numerical examples by Monte Carlo simulation are conducted to illustrate powerof the method proposed in this paper.
机译:本文采用类内相关模型,在重复测量中检验均值分量和两个均值向量的相等性,以便在出现缺失观测值时进行。对于单样本问题中均值相等的情况,我们考虑了一个新的检验统计量。此外,我们推导了两个均值向量相等的新检验统计量。在缺少观测值的一般情况下,给出了检验统计量的分布。最后,通过蒙特卡罗仿真的数值算例说明了该方法的有效性。

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