id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-5959	Abobaker Mohamed Jaber	Robust Modeling of Over Dispersed Count Data Using an Outlier-Weighted Poisson Regression Approach	2025	10	.pdf	application/pdf	2739	152	41	The classical method for modeling such data mailto:abobaker.Jaber@uob.edu.ly mailto:Moh.mohamed@sebhau.edu.ly mailto:Ais.assrhani@sebhau.edu.ly mailto:hnadyalmhdwy708@gmail.com mailto:Kasem.abdinibi@gmail.com mailto:Kasem.abdinibi@gmail.com Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 3192 https://internationalpubls.com is Poisson regression, which operates under the assumption of equal mean and variance (McCullagh&Nelder, 1989). However, real-world datasets often display overdispersion— where variance surpasses the mean—thus violating the assumptions of Poisson regression and resulting in underestimated standard errors and invalid inferences (Ver Hoef&Boveng, 2007; Cameron&Trivedi, 1998).	cache/cana-5959.pdf	txt/cana-5959.txt