On the admissibility of the maximum-likelihood estimator of the binomial variance

DOI10.2307/3315606zbMath0764.62004OpenAlexW2015172243MaRDI QIDQ4036386

Duncan K. H. Fong, Mo-Suk Chow, Lawrence D. Brown

Publication date: 16 May 1993

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/1e222cf6e672a57c6c80e8d2949568d1add1bdae

zbMATH Keywords

maximum-likelihood estimatorsquared-error lossvariance of a binomial distribution

Mathematics Subject Classification ID

Point estimation (62F10) Admissibility in statistical decision theory (62C15)

Related Items (3)

Minimax estimation of a variance ⋮ Larry Brown's work on admissibility ⋮ A note on sequential estimation of the size of a population under a general loss function

Cites Work

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• On the inadmissibility of unbiased estimators
• Admissible estimators of binomial probability and the inverse Bayes rule map
• A complete class theorem for statistical problems with finite sample spaces
• Towards a calculus for admissibility
• Developments in decision-theoretic variance estimation. With comments and a rejoinder by the authors
• Admissibility for Estimation with Quadratic Loss
• On the Admissible Estimators for Certain Fixed Sample Binomial Problems

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