Local efficiency of moment estimators in beta-binomial model
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Publication:4275862
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
meanoverdispersionratio estimatornonhomogeneous Markov chainmoment estimatorslocal efficiencyquasi-likelihood estimatorextra-binomial variationcorrelated binomial modelfirst order approximation of the beta-binomial modelunequal sample size case
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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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