… Here we study commonly used overlap coefficients and inferential procedures for them when
sampling from normal populations with different variances but equal means. Federer et al. (…

… Here we simply suggest that the overlapping coefficient … for proposing the overlapping
coefficient as a measure of … the overlapping coefficient in the more interesting general case. …

… We refer to this estimator as "Normal-Eq'. If the two populations are normal with unequal
variances and Szx < Sy, two density estimators, f(x) andg(x), cross at two points, which are given …

… normal density with mean μ i k and variance σ i k 2 , and p i k is the mixing percentage for k
th component in i th group and ∑ k = 1 M i p i k = 1 where i = 1 , 2 . The parameter space for i …

… ( O V L ), or equivalent variants thereof, has been defined and used in the literature as a
measure of density overlap (eg by Cleveland and Lachenbruch and Mulekar and Mishra 1,2 ). …

… overlapping coefficients assume two specific parametric models for population densities.
The … structure of population densities. Recently, some efforts were introduced to estimate the …

… the coefficient of overlapping proposed by Weitzman (1970). 3.1 Coefficient of overlapping
… We begin by fitting a kernel density to the original data then draw random simulated …

… The overlap coefficient (OVL) measures the common area between two or more density
functions. It has been used for measuring the similarity between distributions in different …

… the coefficient of overlapping proposed by Weitzman (1970). 3.1 Coefficient of overlapping
… We begin by fitting a kernel density to the original data then draw random simulated …

… known overlapping coefficient; Matusita ρ under normal distributions is the main aim of this
paper. Given that we have two independent random samples each following a normal … density …