期刊
CHAOS SOLITONS & FRACTALS
卷 165, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2022.112877
关键词
Power law distribution; Maximum entropy; Deng entropy; Mass function; Probability distribution
资金
- National Natural Science Foundation of China [61973332]
- JSPS Invitational Fellowships for Research in Japan
This paper proposes a method to derive power law distribution with maximum Deng entropy and illustrates the properties of the distribution through numerical examples.
As one of the typical distributions, power law distribution is widely found in natural world. However, how to derive power law is still an open issue. The main contribution of this paper is to propose a method to derive power law distribution with maximum Deng entropy. In the proposed method, Lagrange multiplier approach, combined with the constraint of two given conditions, is used to obtain power law distribution based on maximum Deng entropy. Some numerical examples are used to illustrate the properties of the distribution.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据