Robust techniques for testing heterogeneity of variance effects in factorial designs
Robust techniques for testing heterogeneity of variance effects in factorial designs
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用于测试因子设计中方差效应异质性的稳健技术
DOI：
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发表时间：
1978
期刊：
影响因子：
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通讯作者：
R. O’brien
中科院分区：
文献类型：
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作者：
R. O’brien
本文从理论和蒙特卡罗两个方面比较了用传统的方差分析检验等同或不等析因设计中分布异质性的几种方法。两种类型的扩散变量，(1)s2的折刀伪值和(2)与细胞中值的绝对偏差，被证明是稳健的和相对强大的。这些变量似乎总体上优于Z-方差和Box-Scheffé程序。
Several ways of using the traditional analysis of variance to test heterogeneity of spread in factorial designs with equal or unequaln are compared using both theoretical and Monte Carlo results. Two types of spread variables, (1) the jackknife pseudovalues ofs2 and (2) the absolute deviations from the cell median, are shown to be robust and relatively powerful. These variables seem to be generally superior to the Z-variance and Box-Scheffé procedures.