Parameter Estimation of the Zero Inflated Negative Binomial Beta Exponential Distribution

被引：0
|
作者：
Sirichantra, Chutima [1 ]
Bodhisuwan, Winai [1 ]
机构：
[1] Kasetsart Univ, Fac Sci, Dept Stat, Bangkok 10900, Thailand
来源：
13TH IMT-GT INTERNATIONAL CONFERENCE ON MATHEMATICS, STATISTICS AND THEIR APPLICATIONS (ICMSA2017) | 2017年 / 1905卷
关键词：
POISSON;
D O I：
10.1063/1.5012260
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The zero inflated negative binomial-beta exponential (ZINB-BE) distribution is developed, it is an alternative distribution for the excessive zero counts with overdispersion. The ZINB-BE distribution is a mixture of two distributions which are Bernoulli and negative binomial-beta exponential distributions. In this work, some characteristics of the proposed distribution are presented, such as, mean and variance. The maximum likelihood estimation is applied to parameter estimation of the proposed distribution. Finally some results of Monte Carlo simulation study, it seems to have high-efficiency when the sample size is large.
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页数：6
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