EconPapers    
Economics at your fingertips  
 

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
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715223001980
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:205:y:2024:i:c:s0167715223001980

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2023.109974

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:205:y:2024:i:c:s0167715223001980