  In this paper we have suggested difference-type estimator for estimation of
population mean of the study variable y in the presence of measurement error
using auxiliary information. The optimum estimator in the suggested estimator
has been identified along with its mean square error formula. It has been shown
that the suggested estimator performs more efficient then other existing
estimators. An empirical study is also carried out to illustrate the merits of
proposed method over other traditional methods.
