A New Two Parameter Biased Estimator for the Unrestricted Linear Regression Model: Theory, Simulation and Application

Dawoud Issam, Kibria BM Golam
2020 International Journal of Clinical Biostatistics and Biometrics  
This paper proposes a new biased estimator for estimating the regression parameters for the multiple linear regression models when the regressors are correlated. Theoretical comparisons and simulations results show that, the proposed estimator performs better than other existing estimators under some conditions in the smaller mean squares error sense. A real-life dataset is analyzed to illustrate the findings of the paper.
doi:10.23937/2469-5831/1510031 fatcat:7ppigyvld5ahfkixj74tummm7u