In this paper we consider three measures of overlap, namely Matusia's measure ρ, Morisita's
measure λ and Weitzman's measure Δ. These measures are usually used in quantitative …

Overlap coefficient (OVL) represents the proportion of overlap between two probability
distributions, as a measure of the similarity between them. In this paper, we define a 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 …

Overlapping coefficient is a direct measure of similarity between two distributions which is
recently becoming very useful in many fields of applications including microarray analysis …

Three measures of overlap, namely Matusita's measureρ, Morisita's measure λ and
Weitzman's measure Δ are investigated in this article for two exponential populations with …

Recently, a new entropy based divergence measure has been introduced which is much like
Kullback-Leibler divergence. This entropy measures the distance between an empirical and …

The Weibull and Log-Normal distributions are frequently used in reliability to analyze lifetime
(or failure time) data. The ratio of maximized likelihood (RML) has been extensively used in …

The Weibull distribution is a natural starting point in the modelling of failure times in
reliability, material strength data and many other applications that involve lifetime data. In …

For X and Y independent three-parameter Weibull random variables, the estimation of the
reliability parameter δ= P (Y< X) is important in applications of failure times and stress …

Divergence measures play an important role in measuring the distance between two
probability distribution functions. Kullback–Leibler divergence function is a popular measure …