Estimation of Finite Population Mean Using Auxiliary Attribute in Sample Surveys
This article presents improved estimation of population mean using auxiliary attribute. The bias and mean square error of proposed estimators are obtained up to first order of approximation and it is shown that proposed class of estimator under optimum conditions is more efficient than the other estimators considered in this article. The theoretical results are supported by empirical study considering two data sets.
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