One of the most useful indicators of relative dispersion is the coefficient of variation. The
characteristics of the coefficient of variation have contributed to its widespread use in most …

This paper considers several confidence intervals for estimating the population coefficient of
variation based on parametric, nonparametric and modified methods. A simulation study has …

In the univariate setting, coefficients of variation are well-known and used to compare the
variability of populations characterized by variables expressed in different units or having …

Coefficient of variation is a widely used measure of dispersion and is important in comparing
variables with different units or average values. In pharmaceutical industry, it is termed as …

Air pollution is a growing concern for the general public in Thailand with PM 2.5 (particulate
matter≤ 2.5 µm) having the greatest impact on health. The inverse Gaussian (IG) …

Given increasing demand for high frequency streamflow series (HFSS) at daily and subdaily
time scales there is increasing need for reliable metrics of relative variability for such series …

In non-normal populations, it is more convenient to use the coefficient of quartile variation
rather than the coefficient of variation. This study compares the percentile and t-bootstrap …

In the accelerated life tests, the common failure mechanism is considered as a necessary
condition for the extrapolated procedure. The traditional extrapolation model may become …

Wind energy is an important renewable energy source for generating electricity that has the
potential to replace fossil fuels. Herein, we propose confidence intervals for the difference …

This paper proposes new confidence intervals for the weighted coefficients of variation (CV)
of two-parameter exponential distributions based on the adjusted method of variance …