A Bayesian tour of binomial inference

被引：0
作者：
Hughes, John [1 ]
机构：
[1] Lehigh Univ, Coll Hlth, Bethlehem, PA 18015 USA
来源：
STATISTICS & PROBABILITY LETTERS | 2024年 / 205卷
关键词：
Bayesian; Binomial proportion; Conjugate prior; Teaching statistics; CONFIDENCE-INTERVALS;
D O I：
10.1016/j.spl.2023.109974
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：
This article presents inferential methods for the binomial proportion in a unified way, as vari-ations on a conjugate-Bayesian theme. An overlooked interval emerges as the best-performing approximate interval for small samples. This approach is simple, intuitive, and illuminating, and may hold pedagogical value for instructors of advanced courses on statistical inference.
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页数：5
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