A new two-type parameter estimator has been developed, building on existing methods like ordinary least squares and ridge estimators. The performance of this new estimator was compared to others using mean squared error matrix criteria. The biasing parameters were also estimated to minimize error. An algorithm was proposed to improve an existing estimator. Overall, the new estimator showed promising results in a numerical example and simulation study.