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Eur. Phys. J. B 2, 525-539
Stretched exponential distributions in nature and economy: "fat tails'' with characteristic scales
J. Laherrère1 - D. Sornette2,3
1 107 rue Louis Blériot, 92100 Boulogne-Billancourt, France
2 Laboratoire de Physique de la Matière Condensée
,
Université de Nice-Sophia Antipolis, BP 71, 06108 Nice Cedex 2, France
3 Institute of Geophysics and Planetary Physics and Department of Earth and
Space
Sciences, UCLA, Box 951567,
Los Angeles, CA 90095-1567, USA
Received: 20 January 1998 / Received in final form: 27 January 1998 / Accepted: 6 February 1998
Abstract
To account quantitatively for many reported "natural'' fat tail distributions in Nature
and Economy, we propose the stretched exponential family as a complement to the
often used power law distributions. It has many advantages, among which to be
economical with only two adjustable parameters with clear physical interpretation.
Furthermore, it derives from a simple and generic mechanism in terms of
multiplicative processes. We show that stretched exponentials describe very well the
distributions of radio and light emissions from galaxies, of US GOM OCS oilfield
reserve sizes, of World, US and French agglomeration sizes, of country population
sizes, of daily Forex US-Mark and Franc-Mark price variations, of Vostok (near the
south pole) temperature variations over the last 400 000 years, of the
Raup-Sepkoski's kill curve and of citations of the most cited physicists in the world. We
also discuss its potential for the distribution of earthquake sizes and fault
displacements. We suggest physical interpretations of the parameters and provide a
short toolkit of the statistical properties of the stretched exponentials. We also
provide a comparison with other distributions, such as the shifted linear fractal, the
log-normal and the recently introduced parabolic fractal distributions.
PACS
02.50.+r Probability theory, stochastic processes and statistics
- 89.90.+n Other areas of general interest to physicists
- 01.75.+m Science and society
Author for correspondance: sornette@naxos.unice.fr
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