Local efficiency of moment estimators in beta-binomial model

DOI10.1080/03610928308831163zbMath0791.62027OpenAlexW1984890445MaRDI QIDQ4275862

Yanhong Wu, Muni S. Srivastava

Publication date: 31 January 1994

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928308831163

zbMATH Keywords

meanoverdispersionratio estimatornonhomogeneous Markov chainmoment estimatorslocal efficiencyquasi-likelihood estimatorextra-binomial variationcorrelated binomial modelfirst order approximation of the beta-binomial modelunequal sample size case

Mathematics Subject Classification ID

Point estimation (62F10) Markov processes: estimation; hidden Markov models (62M05)

Related Items (3)

OPTIMAL DESIGNS FOR BINOMIAL SAMPLING UNDER A MIXTURE HYPOTHESIS ⋮ The Bayes rule of the parameter in (0,1) under the power-log loss function with an application to the beta-binomial model ⋮ Joint estimation of the mean and dispersion parameters in the analysis of proportions: A comparison of efficiency and bias

Cites Work

• Statistical inference in Bernoulli trials with dependence
• Approximation Theorems of Mathematical Statistics
• A Markov chain model of extrabinomial variation
• Binary Regression Using an Extended Beta-Binomial Distribution, With Discussion of Correlation Induced by Covariate Measurement Errors
• The Use of a Correlated Binomial Model for the Analysis of Certain Toxicological Experiments
• Two Generalizations of the Binomial Distribution
• Asymptotic properties of moment estimators for overdispersed counts and proportions
• Some remarks on overdispersion

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