Random Clustering Based on the Conditional Inverse Gaussian-Poisson Distribution
Random Clustering Based on the Conditional Inverse Gaussian-Poisson Distribution
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基于条件逆高斯-泊松分布的随机聚类
DOI：
10.14490/jjss.33.105
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Nobuaki Hoshino
中科院分区：
文献类型：
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作者：
Nobuaki Hoshino
本文描述了一个条件逆高斯-泊松分布（CIGP），它是通过对逆高斯-泊松总体模型的总频率进行条件化而得到的。这种CIGP分布等价于正整数的随机划分，在统计生态学、语言学和统计披露控制等方面有着广泛的应用。在给出分布的边际矩之后，对CIGP分布进行了典型数据的拟合，证明了该方法的适用性。
The present article describes a Conditional Inverse Gaussian-Poisson (CIGP) distribution, obtained by conditioning an inverse Gaussian-Poisson population model on its total frequency.This CIGP distribution is equivalent to random partitioning of positive integers, with the possibility for a number of applications in statistical ecology, linguistics and statistical disclosure control to name a few.After showing the marginal moments of the distribution, parameter estimation is discussed.Fitting the CIGP distribution to some typical data sets demonstrates its applicability.
重新审视恩根的扩展负二项式
DOI：
--
发表时间：
2005
期刊：
Annals of the Institute of Statistical Mathematics 57
影响因子：
--
作者：
K.Ikeda;N Hoshino
通讯作者：
N Hoshino