%0 Journal Article %1 Shahbaz2014 %A Shahbaz, Saman %A Zubair, Muhammad %A Butt, Nadeem Shafique N.S. %A Ismail, Muhammad %D 2014 %I Maxwell Scientific Organization %J Research Journal of Applied Sciences, Engineering and Technology %K Mean error,Regressio,[Auxiliary square variables %N 2 %P 251--252 %T A New Regression Estimator Based on Two Auxiliary Variables %V 8 %X © Maxwell Scientific Organization, 2014.A multiple regression estimator has been developed by using information on "k" auxiliary variables. The mean square error has been obtained of the Multiple Regression estimator and comparison has been made with existing estimators for estimation of population characteristic.

@article{Shahbaz2014, abstract = {{\textcopyright} Maxwell Scientific Organization, 2014.A multiple regression estimator has been developed by using information on "k" auxiliary variables. The mean square error has been obtained of the Multiple Regression estimator and comparison has been made with existing estimators for estimation of population characteristic.}, added-at = {2017-11-05T18:54:27.000+0100}, author = {Shahbaz, Saman and Zubair, Muhammad and Butt, Nadeem Shafique N.S. and Ismail, Muhammad}, biburl = {https://www.bibsonomy.org/bibtex/2ad37584e9b3537b5a2967ec31fecc865/nadeemshafique}, file = {:C$\backslash$:/Users/owner/Desktop/Promotion Case/Papers/Maxwell Publishers msproof.pdf:pdf}, interhash = {7f17699da78db041f796d53227661e74}, intrahash = {ad37584e9b3537b5a2967ec31fecc865}, issn = {20407467 20407459}, journal = {Research Journal of Applied Sciences, Engineering and Technology}, keywords = {Mean error,Regressio,[Auxiliary square variables}, number = 2, pages = {251--252}, publisher = {Maxwell Scientific Organization}, timestamp = {2017-11-05T18:55:24.000+0100}, title = {{A New Regression Estimator Based on Two Auxiliary Variables}}, volume = 8, year = 2014 }