The Wald Confidence Interval for a Binomial p as an Illuminating "Bad" Example

被引:2
|
作者
Andersson, Per Goesta [1 ]
机构
[1] Stockholm Univ, Dept Stat, Stockholm, Sweden
来源
AMERICAN STATISTICIAN | 2023年 / 77卷 / 04期
关键词
Correlation; Coverage probability; Score statistic; Skewness; Wald statistic; PROPORTION; APPROXIMATE;
D O I
10.1080/00031305.2023.2183257
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
When teaching we usually not only demonstrate/discuss how a certain method works, but, not less important, why it works. In contrast, the Wald confidence interval for a binomial p constitutes an excellent example of a case where we might be interested in why a method does not work. It has been in use for many years and, sadly enough, it is still to be found in many textbooks in mathematical statistics/statistics. The reasons for not using this interval are plentiful and this fact gives us a good opportunity to discuss all of its deficiencies and draw conclusions which are of more general interest. We will mostly use already known results and bring them together in a manner appropriate to the teaching situation. The main purpose of this article is to show how to stimulate students to take a more critical view of simplifications and approximations. We primarily aim for master's students who previously have been confronted with the Wilson (score) interval, but parts of the presentation may as well be suitable for bachelor's students.
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页码:443 / 448
页数:6
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