… measures of overlap, namely … two Weibull distributions having the same shape parameter
and different scale parameters. This distribution is known to be the most flexible life distribution …

… the overlapping coefficients non-parametrically. In this paper, we introduced the nonparametric
kernel method to estimate the three overlapping coefficients … The pdf of the Weibull model …

… overlapping (OVL) measures, namely; Matusita ρ and Morisita λ measures when two independent
random variables X and Y follow Weibull distribution… The overlapping coefficients(OVL…

… The purpose of this study was to establish a new technique for estimating the Weitzman
coefficient ∆(𝑋,𝑌) under a pair of Weibull distributions based on numerical integration methods. …

… an invalid value because the overlap coefficient is defined as the area … Weibull distributions
is θ > 1, ie, λ 1 > λ 2 , and the recommended computational formula for the overlap coefficient …

… , under different settings and distributions, is presented in … area of the considered distributions:
Weibull, Fréchet, and Gumbel. … overlapping coefficient considering the Weibull distribution, …

… ˆ of the regression coefficients and finally to estimates m ˆ and s ˆ of the Weibull parameters.
… confidence intervals were overlapping (data not shown). The coefficient of variation (cv = sd/…

Understand and utilize the latest developments in Weibull inferential methods While the
Weibull distribution is widely used in science and engineering, most engineers do not have the …

… Weibull distribution are generally predicted either by the parameter prediction method or by
the parameter recovery method. The coefficients … There was, however, some overlap in the …

… of the OVL, O V ̃ L , was calculated on a set of Monte Carlo samples from two Normal, two
Gamma, and two Weibull distributions, using a select number of design points for each …