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International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 5
First page : (135) Last page : (138)
Article doi: : http://dx.doi.org/10.18782/2320-6842

An Improvement in Variance Estimator for the Estimation of Population Variance, Using Known Values of Auxiliary Information

M. A. Bhat*, S. Maqbool and Mir Subzar

Division of Agricultural Economics and Statistics Faculty of Agriculture Wadura Skuast-Kashmir
*Corresponding Author E-mail: mabhat.1500@gmail.com
Received: 30.08.2018 | Revised: 27.09.2018 | Accepted: 6.10.2018  

 

 ABSTRACT

In this research paper, we have developed an efficient estimator by introducing the linear combination of deciles arithmetic mean and coefficient of kurtosis as auxiliary information to achieve efficiency of the estimator for the estimation of population variance.  The bias and mean square error has been derived up to the first order of approximation. The empirical study has been carried out through numerical demonstration to justify the performance of new developed estimators.

Key words: Deciles arithmetic mean, Coefficient of kurtosis, Bias, Mean Square Error, Efficiency.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Bhat, M. A., Maqbool, S. and Subzar, M., An Improvement in Variance Estimator for the Estimation of Population Variance, Using Known Values of Auxiliary Information, Int. J. Pure App. Biosci.6(5): 135-138 (2018). doi: http://dx.doi.org/10.18782/2320-7051.6842