连续的沙利和仁义外倾与医药市场应用

IF 1.8 3区数学 Q1 MATHEMATICS

AIMS Mathematics Pub Date : 2023-01-01 DOI:10.3934/math.20231233

M. Mohamed, Najwan Alsadat, O. S. Balogun

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引用次数: 1

摘要

本文将Tsallis和Renyi熵表示为连续分布下信息的连续度量。此外，还介绍了这些特征及其与其他信息度量的联系。给出了序统计量和上记录的一些随机比较和结果。此外，还讨论了最大Tsallis和Renyi外向性的一些定理。另一方面，对模拟数据和实际数据计算了Tsallis熵的非参数估计的数值结果，并将其应用于时间序列模型及其预测。

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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Continuous Tsallis and Renyi extropy with pharmaceutical market application

In this paper, the Tsallis and Renyi extropy is presented as a continuous measure of information under the continuous distribution. Furthermore, the features and their connection to other information measures are introduced. Some stochastic comparisons and results on the order statistics and upper records are given. Moreover, some theorems about the maximum Tsallis and Renyi extropy are discussed. On the other hand, numerical results of the non-parametric estimation of Tsallis extropy are calculated for simulated and real data with application to time series model and its forecasting.

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来源期刊

AIMS Mathematics Mathematics-General Mathematics

CiteScore

3.40

自引率

13.60%

发文量

769

审稿时长

90 days

期刊介绍： AIMS Mathematics is an international Open Access journal devoted to publishing peer-reviewed, high quality, original papers in all fields of mathematics. We publish the following article types: original research articles, reviews, editorials, letters, and conference reports.