The Burr XII Distribution Family and the Maximum Entropy Principle: Power-Law Phenomena Are Not Necessarily “Nonextensive”

• 作者: F. Brouers
• 来源期刊: 统计学期刊(英文)
• 学科: 数学
• 关键词: Buur XII DISTRIBUTION Singh-Maddala DISTRIBUTION Lévy Function Entropy NON-EQUILIBRIUM Thermodynamics Complex Systems NONEXTENSIVITY
• 年，卷（期）: 2015,（7）
• 页码范围: 730-741
• 页数: 12页
• 分类号: O1

摘要

In this paper, we recall for physicists how it is possible using the principle of maximization of the Boltzmann-Shannon entropy to derive the Burr-Singh-Maddala (BurrXII) double power law probability distribution function and its approximations (Pareto, loglogistic.) and extension (GB2…) first used in econometrics. This is possible using a deformation of the power function, as this has been done in complex systems for the exponential function. We give to that distribution a deep stochastic interpretation using the theory of Weron et al. Applied to thermodynamics, the entropy nonextensivity can be accounted for by assuming that the asymptotic exponents are scale dependent. Therefore functions which describe phenomena presenting power-law asymptotic behaviour can be obtained without introducing exotic forms of the entropy.