International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:6, June, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(6): 957-960

Modified Variance Estimation using New Linear Combination
S. Maqbool and T. A. Raja*
Division of AGB, FVSC & AH, Shuhama, SKUAST- Kashmir, India
*Corresponding author

In this paper, we have offered a class of modified ratio type variance estimator for estimation of population variance of the study variable (basic), when Tri Mean and Quartile average of the auxiliary or supplementary variable are known. The bias and mean square error (MSE) of the proposed estimator are obtained. From the numerical study it is observed that the proposed estimator performs healthier under ideal situations than the existing estimators in the literature.

Keywords: Simple random sampling, bias, mean square error, Tri-Mean, Quartile average,auxiliary variable

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How to cite this article:

Maqbool. S. and Raja. T. A. 2020. Modified Variance Estimation using New Linear Combination.Int.J.Curr.Microbiol.App.Sci. 9(6): 957-960. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.