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ASYMPTOTIC INFERENCE FOR A CLASS OF CHAIN BINOMIAL MODELS

 

作者: R.M. Huggins,  

 

期刊: Australian Journal of Statistics  （WILEY Available online 1993）
卷期: Volume 35, issue 1  

页码: 81-87

 

ISSN:0004-9581

 

年代: 1993

 

DOI:10.1111/j.1467-842X.1993.tb01314.x

 

出版商: Blackwell Publishing Ltd

 

关键词: Chain binomial models;asymptotic inference;approximate maximum likelihood estimates

 

数据来源: WILEY

 

摘要:

SummaryChain binomial models axe commonly used to model the spread of an epidemic through a population. This paper shows that for a flexible class of chain binomial models an approximate maximum likelihood estimator of the infection rate, derived from a Poisson approximation to the binomial distribution, has an asymptotically normal distribution, as do some other related'estimators.

 

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