Modified Estimators of Population Mean Using Robust Multiple Regression Methods

Abstract

Efficiency of estimators can be improved by using the information of
multi-auxiliary variables associated to the study variable [1]. [2] and
[3] suggested robust estimators with single auxiliary variable which
are not applicable to situation when study variable is associated with
independent multi-auxiliary variables. In this paper, finite population
mean modified estimator with independent multi-auxiliary variables
has been proposed. The mean squared error (MSE) of the proposed
estimator was derived up to second degree approximation. The
empirical study was conducted and the results revealed that proposed
estimators were more efficient.