A New Estimator Biased on PKL Estimator for Poisson Regression Model

Abstract

Kibria and Lukman (2020), proposed the Poisson K-L (PKL) estimator to address the well-known multicollinearity problem in linear regression. This article introduces the new almost unbiased estimator. The bias and variance matrices of the proposed estimator are derived and compared to the literature's corresponding estimators. At the end a real data set has been used to investigate about the performance of the proposed estimator. Consequently, we found that the new estimator is most effective.