英文标题：
《Tsallis statistics in the income distribution of Brazil》
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作者：
Abner D. Soares (1), Newton J. Moura Jr. (2), Marcelo B. Ribeiro (3
  and 4) ((1) Comiss\\~ao Nacional de Energia Nuclear - CNEN, Rio de Janeiro,
  (2) Instituto Brasileiro de Geografia e Estat\\\'istica - IBGE, Rio de Janeiro,
  (3) Instituto de F\\\'isica, Universidade Federal do Rio de Janeiro - UFRJ, (4)
  Observat\\\'orio do Valongo, Universidade Federal do Rio de Janeiro - UFRJ)
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最新提交年份：
2016
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英文摘要：
  This paper discusses the empirical evidence of Tsallis statistical functions in the personal income distribution of Brazil. Yearly samples from 1978 to 2014 were linearized by the q-logarithm and straight lines were fitted to the entire range of the income data in all samples, producing a two-parameters-only single function representation of the whole distribution in every year. The results showed that the time evolution of the parameters is periodic and plotting one in terms of the other reveals a cycle mostly clockwise. It was also found that the empirical data oscillate periodically around the fitted straight lines with the amplitude growing as the income values increase. Since the entire income data range can be fitted by a single function, this raises questions on previous results claiming that the income distribution is constituted by a well defined two-classes-base income structure, since such a division in two very distinct income classes might not be an intrinsic property of societies, but a consequence of an a priori fitting-choice procedure that may leave aside possibly important income dynamics at the intermediate levels.
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中文摘要：
本文讨论了巴西个人收入分配中Tsallis统计函数的经验证据。1978年至2014年的年度样本采用q对数进行线性化，所有样本中的收入数据的整个范围均采用直线拟合，得出了每年整个分布的双参数单函数表示。结果表明，这些参数的时间演化是周期性的，将一个参数与另一个参数进行对比，显示出一个基本上是顺时针的循环。研究还发现，经验数据围绕拟合的直线周期性振荡，振幅随着收入值的增加而增加。由于整个收入数据范围可以用一个函数拟合，这就对以前的结果提出了质疑，这些结果声称收入分配是由一个定义明确的两个阶级的基本收入结构构成的，因为在两个非常不同的收入阶级中的这种划分可能不是社会的固有属性，但这是一个先验的合适选择程序的结果，该程序可能会忽略中间水平上可能重要的收入动态。
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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一级分类：Physics        物理学
二级分类：Adaptation and Self-Organizing Systems        自适应和自组织系统
分类描述：Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应，自组织系统，统计物理，波动系统，随机过程，相互作用粒子系统，机器学习
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一级分类：Physics        物理学
二级分类：Data Analysis, Statistics and Probability        数据分析、统计与概率
分类描述：Methods, software and hardware for physics data analysis: data processing and storage; measurement methodology; statistical and mathematical aspects such as parametrization and uncertainties.
物理数据分析的方法、软硬件：数据处理与存储；测量方法；统计和数学方面，如参数化和不确定性。
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一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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