The Bayesian restricted Conway-Maxwell-Binomial model to control dispersion in count data

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• 作者：Josemar Rodrigues^a ; ^{josemar@icmc.usp.br" class="auth_mail" title="E-mail the corresponding author} ; Jorge L. Bazá ; n^a ; Adriano K. Suzuki^a ; Narayanaswamy Balakrishnan^b
• 关键词：Binomial distributions ; Dispersion ; Correlated binomial distributions ; Bayesian inference ; MCMC methods
• 刊名：Statistics & Probability Letters
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：119
• 期：Complete
• 页码：281-288
• 全文大小：492 K

文摘

This paper deals with a Bayesian restricted version of the Conway–Maxwell-Binomial (CMB) distribution introduced by Shmueli et al. (2005) which is also the Correlated Binomial distribution (CB) discussed in Kupper and Haseman(1978). Two illustrative examples based on a real data are considered.