
The Science of Disasters
Climate Disruptions, Heart Attacks, and Market Crashes
A. Bunde, Jozef Kropp, H.-J. Schellnhuber
Résumé
Are there universal laws governing the persistence of weather, and is it possible to predict climate transitions as generated by natural or man-made perturbations? How can one quantify the roller-coaster dynamics of stock markets and anticipate mega-crashes? Can we diagnose the health condition of patients from heartbeat time-series analysis which may even form the basis for infarct prevention? This book tackles these questions by applying advanced methods from statistical physics and related fields to all types of non-linear dynamics prone to disaster. The transdisciplinary analysis is organized in some dozen review articles written by world-class scientists.
Table of Contents- General
- Entropy, complexity, predictability and data analysis of time series and letter sequences
- Wavelet based multifractal formalism
- Space-time variability of the European climate
- Atmospheric persistence analysis
- Is climate predictable?- Fractal and multifractal approaches in physiology
- Physiological relevance of scaling of heart phenomena
- Local scaling properties for diagnostic purposes
- Unstable periodic orbits and stochastic synchronization in sensory biology
- Crowd disasters and simulation of panic situations
- Investigations of financial markets using statistical physics methods
- Market fluctuations I: Scaling, multi-scaling and their possible origins
- Market fluctuations II: Multiplicative and percolation models, size effects and predicitons.
L'auteur - A. Bunde
Bunde, A., Justus-Liebig-Universität, Gießen, Germany;
L'auteur - Jozef Kropp
Kropp, J., Potsdam-Institut für Klimaforschung e.V., Potsdam, Germany;
L'auteur - H.-J. Schellnhuber
Schellnhuber, H.-J., Potsdam-Institut für Klimaforschung e.V., Potsdam, Germany (Eds.)
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Springer |
Auteur(s) | A. Bunde, Jozef Kropp, H.-J. Schellnhuber |
Parution | 15/03/2002 |
Nb. de pages | 454 |
Format | 19,7 x 27,5 |
Couverture | Relié |
Poids | 1450g |
Intérieur | Noir et Blanc |
EAN13 | 9783540413240 |
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