Fayyadh Abdulla Ali, D. (2017). Efficient regression estimators for ordinary least squares and Jackknife based on Jackknife algorithm by deleting one case. , 0(26), 225-232.
Dr. Fayyadh Abdulla Ali. "Efficient regression estimators for ordinary least squares and Jackknife based on Jackknife algorithm by deleting one case". , 0, 26, 2017, 225-232.
Fayyadh Abdulla Ali, D. (2017). 'Efficient regression estimators for ordinary least squares and Jackknife based on Jackknife algorithm by deleting one case', , 0(26), pp. 225-232.
Fayyadh Abdulla Ali, D. Efficient regression estimators for ordinary least squares and Jackknife based on Jackknife algorithm by deleting one case. , 2017; 0(26): 225-232.

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

Al Kut Journal of Economics Administrative Sciences
Article 1, Volume 0, Issue 26, 2018, Pages 225-232
Author
Dr. Fayyadh Abdulla Ali
Abstract
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.
Statistics
Article View: 163
PDF Download: 124


Journal Management System. Powered by iJournalPro.com