检验三个二项比例相等的三个统计量的绝对无条件功率比较

Akihiko Matsuo
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引用次数: 1

摘要

我们将比较使用三种众所周知的拟合优度统计数据(即Pearson's X2,偏差和功率散度)在有条件地和精确地测试三个二项比例的相等性时产生的确切无条件功率。据我所知,没有一篇论文关注过在精确条件检验的背景下检验统计量的选择。这部分是因为除了Mehta和Hilton(1993)之外,几乎所有的作者都处理了两个二项比例,其中每个常用的拟合优度统计量的符号根是条件参考集中观察值的单调函数。对不同的二项式参数设置进行了理论研究,并得到了数值结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EXACT UNCONDITIONAL POWER COMPARISON OF THREE STATISTICS IN TESTING THE EQUALITY OF THREE BINOMIAL PROPORTIONS
We are going to compare the exact unconditional powers resulting from using three well known goodness-of-fit statistics, i.e., Pearson's X2, deviance and power divergence, in testing conditionally and exactly the equality of three binomial proportions. As far as I know, no paper has paid any attention to the selection of test statistics in the context of an exact conditional test. This is partly because almost all authors, apart from Mehta and Hilton (1993), have treated two binomial proportions, where signed root of each frequently used goodness-of-fit statistic is a monotonous function of an observed value on a conditional reference set. Theoretical investigations are carried out and numerical results are obtained on various settings of binomial parameters.
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