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Simultaneous confidence intervals for pairwise multiple comparisons in a two-way unbalanced design with unequal variances

机译:差异不相等的双向不平衡设计中成对多重比较的同时置信区间

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摘要

In this research, we propose simultaneous confidence intervals for all pairwise multiple comparisons in a two-way unbalanced design with unequal variances, using a parametric bootstrap approach. Simulation results show that Type 1 error of the multiple comparison test is close to the nominal level even for small samples. They also show that the proposed method outperforms Tukey-Kramer procedure when variances are heteroscedastic and group sizes are unequal.
机译:在这项研究中,我们使用参数自举方法为方差不等的双向不平衡设计中的所有成对多重比较建议同时置信区间。仿真结果表明,即使对于小样本,多重比较测试的1类误差也接近标称水平。他们还表明,当方差是异方差且组大小不相等时,建议的方法优于Tukey-Kramer过程。

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