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Poisson regression is a statistical method used to model count data, assuming the response variable follows a Poisson distribution. It utilizes maximum likelihood estimation for parameter estimation and is applicable for independent event counts, such as the arrival of calls at a call center. The model can also handle rate data and overdispersion issues, often requiring alternative models like the negative binomial regression when the assumptions of Poisson regression are violated.

Author

ግራዶ ጎማ

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EN