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Likelihood ratio testing of variance components in the linear mixed-effects model using restricted maximum likelihood

机译:使用限制的最大似然检验线性混合效应模型中方差分量的似然比

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This paper reports the results of an extensive Monte Carlo study of the distribution of the likelihood ratio test statistic using the value of the restricted likelihood for testing random components in the linear mixed-effects model when the number of fixed components remains constant. The distribution of this test statistic is considered when one additional random component is added. The distribution of the likelihood ratio test statistic computed using restricted maximum likelihood is compared to the likelihood ratio test statistic computed from the usual maximum likelihood. The rejection proportion is computed under the null hypothesis using a mixture of chi-square distributions. The restricted likelihood ratio statistic has a reasonable agreement with the maximum likelihood test statistic. For the parameter combinations considered, the rejection proportions are, in most cases, less than the nominal 5% level for both test statistics, though, on average, the rejection proportions for REML are closer to the nominal level than for ML. [References: 20]
机译:本文报告了广泛的蒙特卡洛研究的结果,该研究使用似然比检验统计量的分布,当固定分量数保持恒定时,使用限制似然值对线性混合效应模型中的随机分量进行检验。当添加一个额外的随机分量时,将考虑该检验统计量的分布。将使用受限最大似然计算出的似然比检验统计量的分布与根据通常最大似然计算出的似然比检验统计量进行比较。使用卡方分布的混合在零假设下计算拒绝比例。受限似然比统计与最大似然检验统计具有合理的一致性。对于所考虑的参数组合,在大多数情况下,两个测试统计数据的拒绝比例均低于标称5%水平,但平均而言,REML的拒绝比例比ML更接近标称水平。 [参考:20]

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