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On the bounded binomial distribution and its parameter estimation

 

作者: H. K. Lam,   Yat-fan Ho,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1985）
卷期: Volume 14, issue 1  

页码: 43-53

 

ISSN:0361-0918

 

年代: 1985

 

DOI:10.1080/03610918508812425

 

出版商: Marcel Dekker, Inc.

 

关键词: asymptotic normality;bounded multinomial distribution;maximum likelihood estimator;moment estimator;consistency;Monte Carlo simulation

 

数据来源: Taylor

 

摘要:

In this paper, a modified binomial distribution is suggested to cope with situations in which some of the frequencies of a binomial distribution are not distinguishable from others, or the number of occurrence of the event is bounded by a number which is less than the total number of trials. Maximum likelihood estimator, moment estimator, and other estimators of the proportion parameter p are considered.

 

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