The validation of a beta-binomial model for overdispersed binomial data

DOI10.1080/03610918.2014.960091zbMath1362.62045OpenAlexW2552728070WikidataQ47117510 ScholiaQ47117510MaRDI QIDQ2974886

Jongphil Kim, Ji-Hyun Lee

Publication date: 11 April 2017

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5736152

zbMATH Keywords

overdispersionmean square error (MSE)beta-binomial distributionmodel adequacymaximum likelihood estimator (MLE)intra-correlated binary data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Related Items (3)

Simultaneous confidence intervals of estimable functions based on quasi-likelihood in generalized linear models for over-dispersed data ⋮ Joint models for longitudinal zero-inflated overdispersed binomial and normal responses ⋮ Analysis of mixed correlated overdispersed binomial and ordinal longitudinal responses: LogLindley-Binomial and ordinal random effects model

Cites Work

• Modelling and generating correlated binary variables
• Simultaneous confidence intervals for a success probability and intraclass correlation, with an application to screening mammography
• Finite Mixture Models for Proportions

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