寿命不确定性的雷尼熵估计

IF 1.1 4区数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Computation and Simulation Pub Date : 2023-12-29 DOI:10.1080/00949655.2023.2298862

Silpa Subhash, S.M. Sunoj, N. Unnikrishnan Nair

引用次数: 0

摘要

如果一个系统能长期成功运行，并且在其生命周期内不确定性较少，那么它就可以被认为是可靠的。换句话说，降低随机变量的不确定性，就能提高系统的可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Estimation of Rényi entropy for lifetime uncertainty

A system can be considered to be reliable if it operates successfully for a long period of time and has fewer uncertainties during its lifespan. In other words, lower the uncertainty of a random va...

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来源期刊

Journal of Statistical Computation and Simulation 数学-计算机：跨学科应用

CiteScore

2.30

自引率

8.30%

发文量

156

审稿时长

4-8 weeks

期刊介绍： Journal of Statistical Computation and Simulation ( JSCS ) publishes significant and original work in areas of statistics which are related to or dependent upon the computer. Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems. JSCS does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented. Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.