On Inference of Overlapping Coefficients in Two Inverse Lomax Populations

Overlapping coefficient is a direct measure of similarity between two distributions which is recently becoming very useful. This paper investigates estimation for some well-known measures of overlap, namely Matusita's measure ρ, Weitzman's measure Δ and Λ based on Kullback–Leibler....

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Bibliographic Details
Main Authors: Hamza Dhaker, El Hadji Deme, Salah El-Adlouni
Format: Article
Language:English
Published: Atlantis Press 2021-01-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/125951146/view