A New Index for Measuring the Non‐Uniformity of a Probability Distribution

preprint OA: closed CC-BY-4.0
🔓 Open OA copy View at publisher

Abstract

This technical note proposes a new index to quantitatively measure the non‐uniformity of a probability distribution relative to a baseline uniform distribution, named as the “distribution non‐ uniformity index” (DNUI). The proposed DNUI is bounded between 0 and 1, where 0 indicates perfect uniformity and 1 indicates extreme non‐uniformity. It is appliable to both discrete and continuous cases. Several examples are provided to demonstrate the effectiveness of the proposed DNUI and compare it with two evenness measures.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-29T02:00:03.542394+00:00
License: CC-BY-4.0