Probabilistic 'distances'(also called divergences), which in some sense assess how
'close'two probability distributions are from one another, have been widely employed in …

A timely convergence of two widely used disciplines Random Graphs for Statistical Pattern
Recognition is the first book to address the topic of random graphs as it applies to statistical …

To circumvent the limitations of the tests for coefficients of variation and Sharpe ratios, we
develop the mean–variance ratio statistic for testing the equality of mean–variance ratios …

Abstract<? Pub Inc> The idea of'probabilistic distances'(also called divergences), which in
some sense assess how'close'two probability distributions are from one another, has been …

A robust minimax test for two composite hypotheses, which are determined by the
neighborhoods of two nominal distributions with respect to a set of distances-called α …

In order to easily compare several populations on the basis of more than one feature,
multivariate coefficients of variation (MCV) may be used as they allow to summarize relative …

The presence of heteroskedasticity in a considered regression model may bias the standard
deviations of parameters obtained by the Ordinary Least Square (OLS) method. In this case …

This study considers classical and Bayesian inference approaches for the coefficient of
variation under normality for the data, especially on the determination of the sample size of a …

In this article, a parametric bootstrap approach for testing the equality of coefficient of
variation of kk normal populations is proposed. Simulations show that the actual size of our …

Coefficient of variation (CV) is a simple but useful statistical tool to make comparisons about
the independent populations in many research areas. In this study, firstly, we proposed the …