@article{
 title = {A new regression estimator based on two auxiliary variables},
 type = {article},
 year = {2014},
 keywords = {Auxiliary variables,Mean square error,Regressio,Regression estimator},
 pages = {251-252},
 volume = {8},
 publisher = {Maxwell Scientific Organization},
 id = {2ff2fe62-30f2-301b-ad25-c647b746584a},
 created = {2021-08-31T15:29:45.659Z},
 file_attached = {true},
 profile_id = {49efd9d1-b84a-3562-b8db-36e64ac7ba81},
 last_modified = {2021-08-31T15:38:03.679Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Shahbaz2014},
 source_type = {JOUR},
 private_publication = {false},
 abstract = {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.},
 bibtype = {article},
 author = {Shahbaz, Saman and Zubair, Muhammad and Butt, Nadeem Shafique N.S. and Ismail, Muhammad},
 doi = {10.19026/rjaset.8.967},
 journal = {Research Journal of Applied Sciences, Engineering and Technology},
 number = {2}
}

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