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stat.ME2026
Beyond Pairwise: Nonparametric Kernel Estimators for a Generalized Weitzman Coefficient Across k Distributions
Omar Eidous, Noura Almasri
This papers presents a generalization of the Weitzman overlapping coefficient, originally defined for two probability density functions, to a setting involving k independent distri…
stat.ME2026
A Simpson Based Estimation Approach for the Overlapping Coefficient of k>=2 Normal Distributions
Omar Eidous, Majd Alsheyyab
The overlapping coefficient is a fundamental measure of similarity between probability distributions. While the case of two distributions has been extensively studied, extending th…