  Auxiliary variable is extensively used in survey sampling to improve the
precision of estimates. Whenever there is availability of auxiliary
information, we want to utilize it in the method of estimation to obtain the
most efficient estimator. In this paper using multi-auxiliary information we
have proposed estimators based on arithmetic, geometric and harmonic mean. It
was also shown that estimator based on harmonic and geometric means are more
biased than estimator based on arithmetic mean under certain conditions.
However, the MSE of all three estimators are same up to the first order of
approximation.
