An efficient variant of dual to ratio and product estimator in sample surveys

Year: 2014       Vol.: 63       No.: 2      

Authors: Gajendra K. Vishwakarma; Raj K. Gangele; Ravendra Singh

Abstract:

In this paper, we propose a dual to ratio and product estimator for estimating finite population mean of study variable on applying simple transformation to auxiliary variable by using its average values in the population that are generally available in practice. The mean squared error of the proposed estimator have been obtained to the first degree of approximation. It has also been shown that the proposed estimator has greater applicability and is more efficient than the usual estimator even when, the existing estimators are less efficient. An empirical study is carried out to demonstrate the performance of proposed estimator.

Keywords: Auxiliary variable, Study variable, Mean square error, Population mean, Simple random sampling

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