Selecting the best binomial population: Parametric empirical Bayes approach
type: Item
instance of: scholarly article
title: Selecting the best binomial population: Parametric empirical Bayes approach
zbMATH Open document ID: 0685.62029
DOI: 10.1016/0378-3758(89)90036-0
author: Shanti S. Gupta
author: Tachen Liang
published in: Journal of Statistical Planning and Inference
publication date: 1989-01-01T00:00:00Z
Mathematics Subject Classification ID: 62F07
Mathematics Subject Classification ID: 62C12
zbMATH DE Number: 4123064
zbMATH Keywords: binomial distribution
zbMATH Keywords: best population
zbMATH Keywords: loss function
zbMATH Keywords: selection
zbMATH Keywords: conjugate beta prior
zbMATH Keywords: unknown hyperparameters
zbMATH Keywords: Bayes risk
zbMATH Keywords: empirical Bayes selection rule
zbMATH Keywords: minimum Bayes risk
zbMATH Keywords: rates of convergence
MaRDI profile type: Publication
full work available at URL: 0378-3758(89)90036-0
OpenAlex ID: W2031704270
cites work: On selecting the largest success probability under unequal sample sizes
cites work: Q3709695
cites work: Q4188577
cites work: Q4189969
cites work: Q3033123
cites work: Q3279704
cites work: Probability Inequalities for Sums of Bounded Random Variables
cites work: Optimal properties of the Bechhofer-Kulkarni Bernoulli selection procedure
cites work: Q3239675
cites work: The Empirical Bayes Approach to Statistical Decision Problems
cites work: Some thoughts on empirical Bayes estimation
description: scientific article; zbMATH DE number 4123064