  In this paper, a procedure is given for estimating the population mean in
simple random sampling without replacement in the presence of auxiliary
information. The mean squared error expressions of the proposed estimators have
been derived under large sample approximation. We have compared the
performances of the proposed estimators with several existing estimators. Both
theoretical and empirical findings are encouraging and support the soundness of
the proposed procedure for mean estimation.
