Admissible estimators of binomial probability and the inverse Bayes rule map

DOI10.1007/BF00057736zbMath0709.62014MaRDI QIDQ921762

Morris Skibinsky, Andrew. L. Rukhin

Publication date: 1989

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

zbMATH Keywords

Bayes estimationbinomial probabilityexplicit formulae for the moments of the prior distributioninverse Bayes rule mapnew admissibility criterion

Mathematics Subject Classification ID

Bayesian inference (62F15) Admissibility in statistical decision theory (62C15)

Related Items (3)

Bayes estimators whose range has convex hull of zero prior probability ⋮ On the admissibility of the maximum-likelihood estimator of the binomial variance ⋮ Larry Brown's contributions to parametric inference, decision theory and foundations: a survey

Cites Work

• Unnamed Item
• Unnamed Item
• Results on double sample estimation for the binomial distribution
• Principal representations and canonical moment sequences for distributions on an interval
• A complete class theorem for statistical problems with finite sample spaces
• Towards a calculus for admissibility
• Conjugate priors for exponential families
• Minimax Estimation of a Random Probability Whose First $N$ Moments are Known
• On the Admissible Estimators for Certain Fixed Sample Binomial Problems
• Geometry of moment spaces

This page was built for publication: Admissible estimators of binomial probability and the inverse Bayes rule map