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Is The Sample Coefficient Of Variation A Good Estimator For The Population Coefficient Of Variation?

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Author Info
Mahmoudvand, Rahim
Hassani, Hossein
Wilson, Rob

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Abstract

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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File URL: http://mpra.ub.uni-muenchen.de/6106/
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 6106.

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Date of creation: 07 Sep 2007
Date of revision: 2007
Publication status: Published in World Applied Sciences Journal 5.2(2007): pp. 519-522
Handle: RePEc:pra:mprapa:6106

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Related research
Keywords: Coefficient of Variation (CV) Estimator Maximum Likelihood Estimation (MLE).

Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
C60 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - General

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This page was last updated on 2008-11-17.

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