Journal
STATISTICS & PROBABILITY LETTERS
Volume 205, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.spl.2023.109974
Keywords
Bayesian; Binomial proportion; Conjugate prior; Teaching statistics
Categories
Ask authors/readers for more resources
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.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
