New linear estimator outperforms traditional method in regression accuracy.
A type of linear estimator was found to be better than the generalized least square estimator in a study on regression coefficients. The researchers used the mean square error matrix criterion to compare their efficiencies. They discovered that this class of linear estimator outperformed the generalized least square estimator in terms of accuracy.
