using maximum likelihood (ML). The ML method is very sensitive to multicollinearity. Therefore, we present a new Poisson … calculate the mean squared error (MSE) using Monte Carlo simulations. The result from the simulation study shows that the PRR …

the random error and increasing the correlation between the independent variables have negative effect on the MSE. When … the sample size increases the MSE decreases even when the correlation between the independent variables and the variance … of the random error are large. In all situations, the proposed estimators have smaller MSE than the ordinary least …

. The mean squared of error (MSE) is used as criterion to examine the performance of the proposed estimators when compared … smaller (MSE) than the ordinary least squared estimator (OLS) and Hoerl and Kennard (1970a) estimator (HK). …

developed by Alkhamisi and Shukur (2008), AS, when the explanatory variables are affected by multicollinearity. Nine ridge …

regression (SUR) parameters, when the explanatory variables are affected by multicollinearity. Several ridge parameters are …