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....
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Atlantis Press
2021-01-01
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Series: | Journal of Statistical Theory and Applications (JSTA) |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/125951146/view |