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Confidence interval construction for the difference of two binomial parameters
被引:0
|作者:
Andersson, Per Gosta
[1
]
机构:
[1] Stockholm Univ, Dept Stat, Stockholm, Sweden
关键词:
Agresti confidence interval;
Andersson-Nerman confidence interval;
correlation;
newcombe confidence interval;
Wald confidence interval;
PROPORTIONS;
D O I:
10.1080/03610926.2024.2447833
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:
The two-sample problem for interval estimation of the difference of two binomial p:s is considered. A new interval, the (AN) Andersson-Nerman, is presented and compared with the standard Wald interval and another good alternative, the Agresti interval. The AN interval turns out not to be without defects, but in its construction, where we seek to compensate for the correlation between the point estimator and its standard error, we will get an insight as to why the Wald interval does not work well. This seems not to have been previously taken into account for the two-sample case.
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