A MARKOV-CHAIN MODEL OF EXTRABINOMIAL VARIATION
成果类型：
Article
署名作者：
RUDOLFER, SM
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2336803
发表日期：
1990
页码：
255264
关键词：
摘要：
This paper studies the properties of a {0,1}-state Markov chain model of extrabinomial variation. If n is even, the Markov chain binomial model is always overdispersed relative to the binomial model with parameters n and p, while if n is odd, it may be over- or underdispersed relative to the binomial model. Expressions for the likelihood and variance functions are obtained, and for n = 3, the Markov chain binomial model is compared with the additive and multiplicative binomial models of Altham (1978), as well as to the beta-binomial model.
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