A Langevin approach to the Log–Gauss–Pareto composite statistical structure
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DOI: 10.1016/j.physa.2012.06.024
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References listed on IDEAS
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Cited by:
- Luckstead, Jeff & Devadoss, Stephen & Danforth, Diana, 2017. "The size distributions of all Indian cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 237-249.
- Aydiner, Ekrem & Cherstvy, Andrey G. & Metzler, Ralf, 2018. "Wealth distribution, Pareto law, and stretched exponential decay of money: Computer simulations analysis of agent-based models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 278-288.
- Luckstead, Jeff & Devadoss, Stephen, 2017. "Pareto tails and lognormal body of US cities size distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 573-578.
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Keywords
Ornstein–Uhlenbeck dynamics; Linear forces; Gauss distribution; Langevin dynamics; Sigmoidal forces; Exponential tails; Geometric Ornstein–Uhlenbeck dynamics; Log–Gauss distribution; Geometric Langevin dynamics; Power-law tails; Laplace distribution; Log–Laplace distribution; ‘‘mild” randomness; ‘‘wild” randomness; Universality;All these keywords.
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