An efficient new class of estimators of population variance using information on auxiliary attribute in sample surveys
An efficient new class of estimators of population variance using information on auxiliary attribute in sample surveys
This paper addresses the problem of estimating the population variance $S_y^2$ of the study variate $Y$ when information on an auxiliary attribute is available. We have suggested a new class of estimators for the population variance $S_y^2$ using information on an auxiliary attribute. It has been shown that the proposed class of estimators is more efficient than those estimators considered by [16], [19] and [23]. The theoretical findings are well supported through an empirical study.
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