IS THE SAMPLE COEFFICIENT OF VARIATION A GOOD ESTIMATOR FOR THE POPULATION COEFFICIENT OF VARIATION?

In this paper, we obtain bounds for the population coefficient of variation (CV) in Bernoulli, Discrete Uniform, Normal and Exponential distributions. We also show that the sample coefficient of variation (cv) is not an accurate estimator of the population CV in the above indicated distributions. Finally we provide some suggestions based on the Maximum Likelihood Estimation to improve the population CV estimate.

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Year of publication:	2007-09-07
Authors:	Mahmoudvand, Rahim ; Hassani, Hossein ; Wilson, Rob
Institutions:	Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
Subject:	Coefficient of Variation (CV) \| Estimator \| Maximum Likelihood Estimation (MLE)

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Extent:	application/pdf
Series:	MPRA Paper.
Type of publication:	Book / Working Paper
Notes:	Published in World Applied Sciences Journal 5.2(2007): pp. 519-522
Classification:	C13 - Estimation ; C02 - Mathematical Methods ; C40 - Econometric and Statistical Methods: Special Topics. General ; C60 - Mathematical Methods and Programming. General
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005837059