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Power-law distributions in empirical data

Antônio Delfim Netto 1928-; A Clauset SHALIZIM C. R.; M. E. J Newman Others

S.l. s.n 19--

Localização: FEA - Fac. Econ. Adm. Contab. e Atuária  ACERVO DELFIM NETTO  (B25.18.42 )(Acessar)

  • Título:
    Power-law distributions in empirical data
  • Autor: Antônio Delfim Netto 1928-; A Clauset SHALIZIM C. R.; M. E. J Newman Others
  • Assuntos: ECONOMIA
  • Descrição: A brief history of generative models for power law and longnormal distributions A common mode of origin of power laws in models of market and earthquake A general model for the origin of allometric scaling laws in biology A precursor of market crashes: empirical laws of Japan's internet bubble Boltzmann distribution and market temperature Double power laws in income and wealth distributions Fluctuation scaling in complex systems: Taylor's law and beyond Fluctuations of company yearly profits versus scaled revenue: fat tail distribution of Lévy type Gamma-distribution and wealth inequality Models and the scaling of energy costs for locomotion Models of wealth distributions: a perspective Pareto's law of income distribution: evidence for Germany, the United Kingdom, and the United States Power law distributions in economics: a nonextensive statistical approach Power law in firms bankruptcy Power-law behavior and condensation phenomena in disordered URN models Power-law distributions in empirical data
    Size and shape in biology: elastic criteria impose limits on biological proportions, and consequently on metabolic rates Size and shape in biology Statistical properties of world investment networks The dynamic of financial markets: Mandelbrot's multifractal cascades and beyond The origin of allometric scaling laws in biology from genomes to ecosystems: towards a quantitative unifying theory of biological structure and organization
  • Editor: S.l. s.n
  • Data de criação/publicação: 19--
  • Formato: 1 v.
  • Idioma: Português
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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