Add to ORKGIn 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
This paper deals with the problem of estimating population mean Y of the study variate y using infor...
In this paper we propose a generalization of the usual coefficient of variation (CV) to address some...
In this paper, we propose and evaluate the performance of different parametric and nonparametric est...
The coefficient of variation (CV), which is used in many scientific areas, measures the variability ...
The coefficient of variation (CV) of a population is defined as the ratio of the population standard...
The univariate coefficient of variation (CV) is a widely used measure to compare the relative disper...
The coefficient of variation (CV), defined as the ratio of the standard deviation to the mean, is of...
<p>Coefficient of variation (CV) of pre- and post-harvest population numbers compared with the unexp...
The coefficient of variation (CV) is an important and useful statistical tool for comparing several ...
Examples from four disciplines were used to introduce the coefficient of variation which was conside...
This paper considers several confidence intervals for estim ating the population coefficient of va...
In the univariate context, coefficients of variation (CV) are widely used to compare the dispersion ...
The coefficient of variation and the dispersion are two examples of widely used measures of variatio...
One of the spiniest problems in the elementary theory of the sampling is the determination of the si...
In the univariate setting, coefficients of variation are well-known and used to compare the variabilit...
This paper deals with the problem of estimating population mean Y of the study variate y using infor...
In this paper we propose a generalization of the usual coefficient of variation (CV) to address some...
In this paper, we propose and evaluate the performance of different parametric and nonparametric est...
The coefficient of variation (CV), which is used in many scientific areas, measures the variability ...
The coefficient of variation (CV) of a population is defined as the ratio of the population standard...
The univariate coefficient of variation (CV) is a widely used measure to compare the relative disper...
The coefficient of variation (CV), defined as the ratio of the standard deviation to the mean, is of...
<p>Coefficient of variation (CV) of pre- and post-harvest population numbers compared with the unexp...
The coefficient of variation (CV) is an important and useful statistical tool for comparing several ...
Examples from four disciplines were used to introduce the coefficient of variation which was conside...
This paper considers several confidence intervals for estim ating the population coefficient of va...
In the univariate context, coefficients of variation (CV) are widely used to compare the dispersion ...
The coefficient of variation and the dispersion are two examples of widely used measures of variatio...
One of the spiniest problems in the elementary theory of the sampling is the determination of the si...
In the univariate setting, coefficients of variation are well-known and used to compare the variabilit...
This paper deals with the problem of estimating population mean Y of the study variate y using infor...
In this paper we propose a generalization of the usual coefficient of variation (CV) to address some...
In this paper, we propose and evaluate the performance of different parametric and nonparametric est...