残余物
剩余熵
度量(数据仓库)
熵(时间箭头)
索引(排版)
计算机科学
统计
计量经济学
数学
统计物理学
数据挖掘
算法
物理
热力学
万维网
组态熵
作者
Akash Sharma,Chanchal Kundu
出处
期刊:Ima Journal of Mathematical Control and Information
[Oxford University Press]
日期:2024-08-04
标识
DOI:10.1093/imamci/dnae024
摘要
Abstract Analysing the information measures’ dispersion index has garnered increasing attention. In this regard, variability of entropy has been explored for residual and past lifetimes. In a recent paper, Balakrishnan et al. (2023, Commun. Stat. Theory Methods, 53, 5574–5592) have studied the variability of the Kerridge inaccuracy measure. The dynamic measures of varinaccuracy, namely residual varinaccuracy and past varinaccuracy, have been introduced in this article. A detailed course of theoretical results has been investigated with examples. Further, some applications of the residual varinaccuracy have been added to show the functionality of the defined measure.
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