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Comparing the efficacy of coefficient of variation control charts using generalized multiple dependent state sampling with various run-rule control charts. [PDF]
Rao GS, Aslam M, Alamri FS, Jun CH.
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The coefficient of variation biplot
This note introduces the coefficient of variation biplot, and suggests that it will provide a useful graphical display of data matrices in which the relative variability of the columns is of interest.
Leslie Underhill
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The Gini Index as a Coefficient of Variation
The coefficient of variation, which measures the variability of a distribution from its mean, is not uniquely defined in the multidimensional case, and so is the multidimensional Gini index, which measures the inequality of a distribution in terms of the mean differences among its observations.
Auricchio, Gennaro +2 more
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IS THE SAMPLE COEFFICIENT OF VARIATION A GOOD ESTIMATOR FOR THE POPULATION COEFFICIENT OF VARIATION? [PDF]
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
Mahmoudvand, Rahim +2 more
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Coefficient of Variation = ((SD of the test-retest differences/√2)/meanof the test-retest differences) expressed as a percentage value.**Motor peak latency was not measured.
John R. Hotson (541249)
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Nature, 1946
TEXT-BOOKS of statistics generally cite the coefficient of variation (or variability) as a measure of relative variability. While the coefficient (abbreviated to CV) is usually defined by the equation CV = 100/AM (which is the form to which these notes refer), the more general definition is of a specified measure of dispersion expressed as a percentage
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TEXT-BOOKS of statistics generally cite the coefficient of variation (or variability) as a measure of relative variability. While the coefficient (abbreviated to CV) is usually defined by the equation CV = 100/AM (which is the form to which these notes refer), the more general definition is of a specified measure of dispersion expressed as a percentage
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On a variational approach to the Soret coefficient
The Journal of Chemical Physics, 2006In this paper, a variational approach to the Soret coefficient initiated by Kempers [J. Chem. Phys. 90, 6541 (1989)] is critically revisited. We show that the physical coherence of the whole procedure leads to a very peculiar choice of the type of constraint one can select to mimic the nonequilibrium stationary state.
Farago, J., Rousseau, B., Artola, P.A.
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On the Performance of a Test for Coefficient of Variation
Calcutta Statistical Association Bulletin, 1992Approximate standard errors (s.e) of sample coefficient of variation (c.v.) are available in the literature (Kendall and Stuart, 1977; Serfting 1980). Using these s.e.'s a large sample test can be constructed to test for the specified value of population c.v. The test can also be justified on the principles of Wald test.
Aruna Rao, K., Vidya, R.
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Nonparametric Interval Estimators for the Coefficient of Variation
The International Journal of Biostatistics, 2018Abstract The coefficient of variation (CV) is a widely used scaleless measure of variability in many disciplines. However the inference for the CV is limited to parametric methods or standard bootstrap. In this paper we propose two nonparametric methods aiming to construct confidence intervals for the coefficient of variation.
Wang, Dongliang +2 more
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