A Bayesian tour of binomial inference

John Hughes

Statistics & Probability Letters, 2024, vol. 205, issue C

Abstract: This article presents inferential methods for the binomial proportion in a unified way, as variations 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.

Keywords: Bayesian; Binomial proportion; Conjugate prior; Teaching statistics (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.spl.2023.109974

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