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.

引用

页数：5

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