Efficient regression estimators for ordinary least squares and Jackknife based on Jackknife algorithm by deleting one case

The aim of the research is to find an OLS estimator based on the Jackknife method by deleting one case that is more efficient than OLS estimator and Jackknife estimator. Jackknife estimators and algorithms were reviewed. The researcher found that the proposed estimator is better than OLS estimator and Jackknife estimators depending on MSE as comparison criterion.