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Exponential Type Estimator for Estimating Finite Population Mean

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dc.contributor.author Singh, Rajesh
dc.contributor.author Mishra, Prabhakar
dc.contributor.author Auduudu, Ahmed
dc.contributor.author Khare, Supriya
dc.date.accessioned 2020-05-01T19:07:47Z
dc.date.available 2020-05-01T19:07:47Z
dc.date.issued 2020-05-01
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/3839
dc.description.abstract In this paper, we suggest an exponential type estimator for estimating population mean under simple random sampling without replacement and also utilize this estimator for missing data under varied imputation techniques. Expressions for Bias and MSE’s are acquired in the form of population parameters up to the first order of approximation. The empirical study in support of theoretical results is also included. en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Bias en_US
dc.subject Exponent type Estimator en_US
dc.subject Mean Square Error en_US
dc.subject SRSWOR en_US
dc.title Exponential Type Estimator for Estimating Finite Population Mean en_US
dc.identifier.doi http://dx.doi.org/10.12785/ijcts/070104
dc.volume Volume 07 en_US
dc.issue Issue 01 en_US
dc.contributor.authorcountry India en_US
dc.contributor.authorcountry India en_US
dc.contributor.authorcountry Nigeria en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi,India en_US
dc.contributor.authoraffiliation Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi,India en_US
dc.contributor.authoraffiliation Department of Mathematics, Usmanu Danfodiyo University, Sokoto, Nigeria en_US
dc.contributor.authoraffiliation Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi,India en_US
dc.source.title International Journal of Computational and Theoretical Statistics en_US


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