Oscillation Phenomenon of Binomial Confidence Intervals

J. Reed
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引用次数: 1

Abstract

One of the most basic and important problems in statistical practice is constructing an interval estimation of the probability of success. The textbook binomial confidence interval that has near universal acceptance is the familiar Wald binomial confidence interval (Wald-z). In recognition that the actual coverage probability of Wald-z is poor for p near 0 or 1, textbooks include a warning that Wald-z should only be used when np 3 5 (or 10). An interesting phenomenon occurs in the actual coverage probability when n is fixed and p I (0, 1). The oscillation of the coverage probability shows that there exist a large number of combinations of n and p that, while satisfying the condition np 3 5, the corresponding coverage probability is considerably smaller than the nominal level This behavior does not disappear even when n is quite large nor when p moves away from the boundaries
二项置信区间的振荡现象
统计实践中最基本和最重要的问题之一是构造成功概率的区间估计。教科书上广为接受的二项置信区间是我们熟悉的Wald二项置信区间(Wald-z)。认识到当p接近0或1时,Wald-z的实际覆盖概率很低,教科书中包含了一个警告,即只有当np为35(或10)时才应该使用Wald-z。当n固定且p为I(0,1)时,实际覆盖概率中出现了一个有趣的现象。覆盖概率的振荡表明,存在大量的n和p的组合,在满足条件np 35的情况下,对应的覆盖概率明显小于标称水平,这种行为即使在n很大或p远离边界时也不会消失
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