In this paper, we propose a generalized form of Sichel distribution which is obtained by mixing the Poisson distribution with the extended generalized inverse Gaussian distribution. This distribution models over dispersed, zero-inflated and heavy-tailed count data sets. These characteristics are examined with respect to the dispersion, zero-inflation and the third central moment inflation indices. Examples are provided to compare the extension with several other existing models including the Poisson-inverse Gaussian and the Sichel distributions.
机构:
Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China
Zhao, Xu
Wei, Shaojie
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China
Wei, Shaojie
Cheng, Weihu
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China
Cheng, Weihu
Zhang, Pengyue
论文数: 0引用数: 0
h-index: 0
机构:
Ohio State Univ, Coll Med, Dept Biomed Informat, Columbus, OH 43210 USA
Indiana Univ, Dept Biostat, Indianapolis, IN 46204 USABeijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China
Zhang, Pengyue
Zhang, Yang
论文数: 0引用数: 0
h-index: 0
机构:
Rutgers State Univ, Dept Econ, New Brunswick, NJ USABeijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China
Zhang, Yang
Xu, Qi
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China