Modeling Under-Dispersed Count Data by the Generalized Poisson Distribution via Two New MM Algorithms

Modeling Under-Dispersed Count Data by the Generalized Poisson Distribution via Two New MM Algorithms

Under-dispersed count data often appear in clinical trials, medical studies, demography, actuarial science, ecology, biology, industry and engineering. Although the <i>generalized Poisson</i> (GP) distribution possesses the twin properties of under- and over-dispersion, in the past 50 ye...

Full description

Bibliographic Details
Main Authors: Xun-Jian Li, Guo-Liang Tian, Mingqian Zhang, George To Sum Ho, Shuang Li
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
generalized Poisson distribution
mean regression model
MM algorithms
over-dispersion
under-dispersion
Online Access:https://www.mdpi.com/2227-7390/11/6/1478

Similar Items

Similar Items