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Estimation of Finite Population Mean Under Measurement Error

Show simple item record Rajesh, Singh Prabhakar, Mishra Supriya, Khare 2019-04-29T10:44:23Z 2019-04-29T10:44:23Z 2019-05-01
dc.description.abstract In this paper, we have proposed two log- product -type estimators and a new estimator for estimation of finite population mean under measurement error by using auxiliary information. The expressions for Bias and mean squared error of proposed estimators are evaluated up to first order of approximation. Based on theoretical results obtained, a numerical study by generating Normal population using R programming language is also included to compare the efficiency of proposed estimators with other relevant estimators. en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Auxiliary variable en_US
dc.subject Mean square error en_US
dc.subject Measurement error en_US
dc.subject Study variable en_US
dc.title Estimation of Finite Population Mean Under Measurement Error en_US
dc.volume Volume 6 en_US
dc.issue Issue 1 en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation Department of Statistics, Banaras Hindu University, Varanasi-221005, India en_US
dc.source.title International Journal of Computational and Theoretical Statistics en_US
dc.abbreviatedsourcetitle IJCTS en_US

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