TY - JOUR
T1 - Paretian poisson processes
AU - Eliazar, Iddo
AU - Klafter, Joseph
PY - 2008/5
Y1 - 2008/5
N2 - Many random populations can be modeled as a countable set of points scattered randomly on the positive half-line. The points may represent magnitudes of earthquakes and tornados, masses of stars, market values of public companies, etc. In this article we explore a specific class of random such populations we coin 'Paretian Poisson processes'. This class is elemental in statistical physics-connecting together, in a deep and fundamental way, diverse issues including: the Poisson distribution of the Law of Small Numbers; Paretian tail statistics; the Fréchet distribution of Extreme Value Theory; the one-sided Lévy distribution of the Central Limit Theorem; scale-invariance, renormalization and fractality; resilience to random perturbations.
AB - Many random populations can be modeled as a countable set of points scattered randomly on the positive half-line. The points may represent magnitudes of earthquakes and tornados, masses of stars, market values of public companies, etc. In this article we explore a specific class of random such populations we coin 'Paretian Poisson processes'. This class is elemental in statistical physics-connecting together, in a deep and fundamental way, diverse issues including: the Poisson distribution of the Law of Small Numbers; Paretian tail statistics; the Fréchet distribution of Extreme Value Theory; the one-sided Lévy distribution of the Central Limit Theorem; scale-invariance, renormalization and fractality; resilience to random perturbations.
KW - Fractals
KW - Probability theory
KW - Statistics
KW - Stochastic processes
UR - http://www.scopus.com/inward/record.url?scp=43349099312&partnerID=8YFLogxK
U2 - 10.1007/s10955-008-9505-3
DO - 10.1007/s10955-008-9505-3
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AN - SCOPUS:43349099312
SN - 0022-4715
VL - 131
SP - 487
EP - 504
JO - Journal of Statistical Physics
JF - Journal of Statistical Physics
IS - 3
ER -