A general procedure of estimating the population variance when coefficient of variation of an auxiliary variable is known in sample surveys

Rohini Yadav (), Lakshmi Upadhyaya (), Housila Singh () and S. Chatterjee ()

Quality & Quantity: International Journal of Methodology, 2013, vol. 47, issue 4, 2339 pages

Abstract: This paper deals with the problem of estimating population variance $${{S}_{\rm y}^2}$$ of the study variable y. We have suggested a family of estimators of population variance $${{S}_{\rm y}^2}$$ using the transformations on both the study variable and the auxiliary variable when coefficient of variation of an auxiliary variable x is known. The suggested family of estimators is very wide from which we can generate many estimators by putting the suitable values of scalars. The bias and mean squared error have been obtained upto the first order of approximation. The empirical study is carried out to the support of the suggested family of estimators. Copyright Springer Science+Business Media B.V. 2013

Keywords: Study variable; Auxiliary variable; Transformed variable; Bias and mean squared error (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s11135-012-9659-6

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