An Empirical Application Using Real Data to Compare Two Methods for Estimating and Testing the Parameters of a Poisson Regression Model

Authors

  • Mohammed Ibrahim Zamel Dhi-Qar Education Directorate, Iraq

Keywords:

Poisson distribution, maximum likelihood, least absolute deviation, coefficient of determination, mean squares error, Wald test

Abstract

Estimation methods are an important cornerstone of regression analysis, and based on an accurate model will result in a well-represented analysis. In this study, a comparison was made between the two methods of maximum likelyhood and the least absolute deviation. Thi Qar for the year 2018. two criteria were used for the differentiation between the models, , the criterion of the coefficient of determination  and the criterion of the mean squares error (MSE). The maximum likelihood method is better than the less absolute deviation method

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Published

2026-06-12

How to Cite

Zamel, M. I. (2026). An Empirical Application Using Real Data to Compare Two Methods for Estimating and Testing the Parameters of a Poisson Regression Model. Kyzylorda Scholarly Review, 3(1), 44–56. Retrieved from https://bulletin.ouk.kz/index.php/bulletin/article/view/42

Issue

Vol. 3 No. 1 (2026): Kyzylord Scholarly Review

Section

Articles

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