Derive power law distribution with maximum Deng entropy

DOI10.1016/J.CHAOS.2022.112877OpenAlexW4309407392MaRDI QIDQ2680012

Zihan Yu, Yong Deng

Publication date: 26 January 2023

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2022.112877

zbMATH Keywords

probability distributionmaximum entropypower law distributionmass functionDeng entropy

Mathematics Subject Classification ID

Measures of information, entropy (94A17) Information theory (general) (94A15)

Uses Software

• plfit

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A Mathematical Theory of Communication
• Analyzing properties of Deng entropy in the theory of evidence
• Understanding the cubic and half-cubic laws of financial fluctuations
• Comment: ``On the history and limitations of probability updating
• Critique of modified Deng entropies under the evidence theory
• A unified formulation of entropy and its application
• Lerch distribution based on maximum nonsymmetric entropy principle: application to Conway's game of life cellular automaton
• Complexity modeling and analysis of chaos and other fluctuating phenomena
• On Tsallis extropy with an application to pattern recognition
• On cumulative entropies in terms of moments of order statistics
• Information Theory and Statistical Mechanics
• On the dimension and entropy of probability distributions
• Power-Law Distributions in Empirical Data
• Rough sets
• Probability Theory
• Inequalities between entropy and index of coincidence derived from information diagrams
• Probability
• INFORMATION FRACTAL DIMENSION OF MASS FUNCTION
• Advanced Lectures on Machine Learning

This page was built for publication: Derive power law distribution with maximum Deng entropy