A New Family of Estimators of the Population Variance using Information on Population Variance of Auxiliary Variable in Sample Surveys
Housila P. Singh, Surya Kant Pal
Abstract
Housila P. Singh, Surya Kant Pal
Abstract
Abstract This paper proposes a family of estimators of population variance S 2 y of the study variable y in the presence of known population variance S 2 x of the auxiliary variable x. It is identified that in addition to many, the recently proposed classes of estimators due to Sharma and Singh (2014) and Singh and Pal (2016) are members of the proposed family of estimators. Asymptotic expressions of bias and mean squared error (MSE) of the suggested family of estimators have been obtained. Asymptotic optimum estimator (AOE) in the family of estimators is identified. Some subclasses of estimators of the proposed family of estimators have been identified along with their properties. We have also given the theoretical comparisons among the estimators discussed in this paper.
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Abstract This paper proposes a family of estimators of population variance S 2 y of the study variable y in the presence of known population variance S 2 x of the auxiliary variable x. It is identified that in addition to many, the recently proposed classes of estimators due to Sharma and Singh (2014) and Singh and Pal (2016) are members of the proposed family of estimators. Asymptotic expressions of bias and mean squared error (MSE) of the suggested family of estimators have been obtained. Asymptotic optimum estimator (AOE) in the family of estimators is identified. Some subclasses of estimators of the proposed family of estimators have been identified along with their properties. We have also given the theoretical comparisons among the estimators discussed in this paper.
Key concepts: Estimator, Statistics, Mathematics, Extremum estimator, Population variance, Variance (accounting), Variable (mathematics), Population