The overlap coefficient (OVL) measures the similarity between two distributions through the
overlapping area of their distribution functions. Given its intuitive description and ease of …

Abstract Overlap coefficient (OVL), the proportion of overlap area between two probability
distributions, is a direct measure of similarity between two distributions. It is useful in …

In this paper, we proposed three nonparametric kernel estimators for the overlapping
Weitzman measure Δ. Due to the difficulty of finding a general expression for Δ when the …

Most studies of estimating overlapping coefficients assume two specific parametric models
for population densities. The methods that used such of this assumption are called …

Overlapping coefficients (OVL) are commonly used to estimate the similarity between
populations in terms of their density functions. In this paper, we consider Pianka's overlap …

A usual problem in applied statistics is the one related to the estimation of the common area
under two distributions, which is usually estimated by means of an overlapping coefficient …

This paper deals with the problem of estimating the overlapping (OVL) Weitzman measure
(∆) when two independent random variables X and Y are given by twoparameter Weibull …

In this paper, we introduce a new nonparametric test of symmetry based on the empirical
overlap coefficient using kernel density estimation. Our investigation reveals that the new …

This article is devoted to the study of overlap measures of densities of two exponential
populations. Various Overlapping Coefficients, namely: Matusita's measure $\rho …

The overlapping coefficients are defined as the measures of similarity and agreement
between two or more distributions. Estimation of the well-known overlapping coefficient; …