Abstract

Frequently, there may arise situations where we have information on several auxiliary variables only for some part of the population. The maximum utilization of incomplete multi-auxiliary information is carried out in such cases by stratifying the population on the basis of available multi-auxiliary information at hand. In this paper a class of estimators is considered for estimating the mean of the finite population utilizing available incomplete multi-auxiliary information when frame is unknown for each stratum. Some special cases of this class of estimators are considered. The approximate expressions for bias and mean square error of the suggested estimators have also been derived and theoretical results are numerically supported.

Author: Meenakshi Srivastava and Neha Garg

Received on: March, 2008

Accepted on: October, 2008