An efficient new class of estimators of population variance using information on auxiliary attribute in sample surveys

Authors : Housila P. SİNGH, Surya K. PAL

Pages : 267-277

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Publication Date : 2018-02-01

Article Type : Research Paper

Abstract :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.
Keywords : Study variate, Auxiliary attribute, Population variance, Bias, Mean sqaured error