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

Year 2018, Volume: 47 Issue: 1, 267 - 277, 01.02.2018

Housila P. Singh , Surya K. Pal

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

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