Abstract
We illustrate the general principle that in biophysics, econophysics and possibly even city growth, the conceptual framework provided by scaling and universality may be of use in making sense of complex statistical data. Specifically, we discuss recent work on DNA sequences, heartbeat intervals, avalanche-like lung inflation, urban growth, and company growth. Although our main focus is on data, we also discuss statistical mechanical models.
Original language | English (US) |
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Pages (from-to) | 20-48 |
Number of pages | 29 |
Journal | Physica A: Statistical Mechanics and its Applications |
Volume | 231 |
Issue number | 1-3 |
DOIs | |
State | Published - Sep 15 1996 |
Funding
Instituteso f Health (Human GenomeP roject), the G. Harold and Leila Y. Mathers Charitable Foundation, the National Heart, Lung and Blood Institute, the National Aeronauticsa nd SpaceA dministration,t he Israel-USA Binational ScienceF oundation, Israel Academy of Sciences,a nd (to C-KP) by an NIH/NIMH PostdoctoralN RSA Fellowship.
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Statistics and Probability