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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2018 , Volume 6, Issue 5
Page No. : 135-138
Article doi: : http://dx.doi.org/10.18782/2320-7051.6842
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/10.18782/2320-7051.6842
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
