Composite-Type Estimator of the Coefficient of Variation under SRSWOR

Rina Shah¹ , P. A. Patel²

Section:Research Paper, Product Type: Journal-Paper
Vol.7 , Issue.1 , pp.57-63, Feb-2020

Online published on Feb 28, 2020

Copyright © Rina Shah, P. A. Patel . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In this article we address the problem of estimating the coefficient of variation (cv) of a finite population using two auxiliary variables. Estimation of the cv, a measure of variability, is one of the important parameters and the real use of its estimate would be in determining a sample size for a future study. The regression and composite-type estimators of the coefficient of variation are suggested and their performances are compared with the estimators available in the literature empirical study. Also, a small scale Monte Carlo simulation is carried out to support the findings. Among the estimators considered under study, the suggested estimators have performed very well.

Key-Words / Index Term :
Auxiliary variable, coefficient of variation, finite population, simulation, SRSWOR

References :
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