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Approximate one-sided tolerance limits in random effects model and in some mixed models and comparisons

机译:随机效应模型以及某些混合模型和比较中的近似单侧公差极限

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摘要

An approximate closed-form one-sided tolerance limit (TL) in a general mixed model is proposed. One-sided TLs for the distribution of observable random variable and for the distribution of unobservable random variable in one-way random model are obtained as special cases from the one for the general mixed model. Applications to a two-way nested random model are also given. The merits of the TLs are evaluated using Monte Carlo simulation and compared with the existing ones. Our comparison studies indicate that the approximate TLs are quite satisfactory for all parameter and sample size configurations, and better than the existing ones in some cases. Approximate confidence intervals for exceedance probabilities in one-way random effects model are also proposed. The procedures are illustrated using three examples.
机译:提出了一种一般混合模型中的近似闭合形式的单边公差极限(TL)。作为特殊情况,从一般混合模型的一侧获得了用于单向随机模型中可观察的随机变量分布和不可观察的随机变量分布的单侧TL。还给出了双向嵌套随机模型的应用。使用蒙特卡洛模拟评估TL的优劣,并与现有的优劣进行比较。我们的比较研究表明,对于所有参数和样本大小配置,近似TL都非常令人满意,并且在某些情况下优于现有TL。还提出了单向随机效应模型中超过概率的近似置信区间。使用三个示例说明了该过程。

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