Comparison of Poisson Regression and Conway Maxwell Poisson Models Using Simulation
DOI:
https://doi.org/10.33095/jeas.v29i136.2609Keywords:
Poisson regression ,Conway-MaxWell Poisson, Maximum Likelinood Method , Mean square error, Akakie, Inverse Simulation., انحدار بواسون ، كونواي ماكسويل بواسون ، طريقة الامكان الاعظم , متوسط مربعات الخطأ , الاكايكي ,محاكاة المعكوس.Abstract
Regression models are one of the most important models used in modern studies, especially research and health studies because of the important results they achieve. Two regression models were used: Poisson Regression Model and Conway-Max Well- Poisson), where this study aimed to make a comparison between the two models and choose the best one between them using the simulation method and at different sample sizes (n = 25,50,100) and with repetitions (r = 1000). The Matlab program was adopted.) to conduct a simulation experiment, where the results showed the superiority of the Poisson model through the mean square error criterion (MSE) and also through the Akaiki criterion (AIC) for the same distribution.
Paper type: Research paper.
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