A new improved Liu-type estimator for Poisson regression models

The Poisson Regression Model (PRM) is commonly used in applied sciences such as economics and the social when analyzing count data. maximum likelihood method well-known estimation technique to estimate parameters PRM. However, explanatory variables are highly intercorrelated, unstable parameter estimates can be obtained. Therefore, biased estimators widely alleviate undesirable effects of these problems. In this study, a new improved Liu-type estimator proposed an alternative other estimators. superiority over existing given under asymptotic matrix mean square error criterion. Furthermore, Monte Carlo simulation studies executed compare performances Finally, obtained results illustrated real Based on set experimental conditions which investigated, outperforms