TESTING EQUALITY OF TWO MEAN VECTORS AND SIMULTANEOUS CONFIDENCE INTERVALS IN REPEATED MEASURES WITH MISSING DATA

Kazuyuki Koizumi, Kazuyuki Koizumi, T. Seo
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引用次数: 10

Abstract

In this paper, we derive the exact distribution of a new test statistic for the equality of two mean vectors in the intraclass correlation model when monotone missing observations occur. Simultaneous confidence intervals for all contrasts of two mean vectors are given by using the idea in Seo and Srivastava (2000). Finally, in order to evaluate the procedure proposed in this paper, we investigate the power function of a new test statistic and the widths of simultaneous confidence intervals. The numerical results of a real example and simulation study are presented.
在缺失数据的重复测量中检验两个均值向量和同时置信区间的相等性
本文推导了类内相关模型中出现单调缺失观测值时两个均值向量相等性的新检验统计量的精确分布。使用Seo和Srivastava(2000)中的思想给出了两个平均向量的所有对比的同时置信区间。最后,为了评价本文提出的方法,我们研究了一个新的检验统计量的幂函数和同时置信区间的宽度。给出了一个实例的数值结果和仿真研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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