One of the most accessible and useful statistical tools for comparing independent populations in different research areas is the coefficient of variation (CV). In this study, first, the asymptotic distribution of the ratio of CV of two uncorrelated populations is investigated. Then, the outputs are used to create a confidence interval and to establish a test of hypothesis about the CV ratio of the populations. The proposed approach is compared with an alternative method, showing its superiority and effectiveness
This paper presents three confidence intervals for the coefficient of variation in a normal distribu...
In the univariate context, coefficients of variation (CV) are widely used to compare the dispersion ...
The asymptotic distribution for the ratio of sample proportions in two independent bernoulli popula...
Abstract. The asymptotic distribution for the ratio of the sample cor-relations in two independent p...
The coefficient of variation (CV) is an important and useful statistical tool for comparing several ...
The asymptotic distribution for the ratio of sample variances in two independent populations is est...
The coefficient of variation (CV), defined as the ratio of the standard deviation to the mean, is of...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
The univariate coefficient of variation (CV) is a widely used measure to compare the relative disper...
This paper considers several confidence intervals for estimating the population coefficient of varia...
The coefficient of variation (CV), which is used in many scientific areas, measures the variability ...
For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of ...
There is no exact small sample solution for setting confidence intervals for the treatment component...
In the paper, the relative potency of two drugs using confidence intervals for the ratio of two mean...
For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of ...
This paper presents three confidence intervals for the coefficient of variation in a normal distribu...
In the univariate context, coefficients of variation (CV) are widely used to compare the dispersion ...
The asymptotic distribution for the ratio of sample proportions in two independent bernoulli popula...
Abstract. The asymptotic distribution for the ratio of the sample cor-relations in two independent p...
The coefficient of variation (CV) is an important and useful statistical tool for comparing several ...
The asymptotic distribution for the ratio of sample variances in two independent populations is est...
The coefficient of variation (CV), defined as the ratio of the standard deviation to the mean, is of...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
The univariate coefficient of variation (CV) is a widely used measure to compare the relative disper...
This paper considers several confidence intervals for estimating the population coefficient of varia...
The coefficient of variation (CV), which is used in many scientific areas, measures the variability ...
For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of ...
There is no exact small sample solution for setting confidence intervals for the treatment component...
In the paper, the relative potency of two drugs using confidence intervals for the ratio of two mean...
For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of ...
This paper presents three confidence intervals for the coefficient of variation in a normal distribu...
In the univariate context, coefficients of variation (CV) are widely used to compare the dispersion ...
The asymptotic distribution for the ratio of sample proportions in two independent bernoulli popula...