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The Science of Disasters

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Cover of 'The Science of Disasters'

Table of Contents

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    Book Overview
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    Chapter 1 Entropy, Complexity, Predictability, and Data Analysis of Time Series and Letter Sequences
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    Chapter 2 Wavelet Based Multifractal Formalism: Applications to DNA Sequences, Satellite Images of the Cloud Structure, and Stock Market Data
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    Chapter 3 Space-Time Variability of the European Climate
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    Chapter 4 Is Climate Predictable?
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    Chapter 5 Atmospheric Persistence Analysis: Novel Approaches and Applications
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    Chapter 6 Assessment and Management of Critical Events: The Breakdown of Marine Fisheries and The North Atlantic Thermohaline Circulation
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    Chapter 7 Fractal and Multifractal Approaches in Physiology
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    Chapter 8 Physiological Relevance of Scaling of Heart Phenomena
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    Chapter 9 Local Scaling Properties for Diagnostic Purposes
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    Chapter 10 Unstable Periodic Orbits and Stochastic Synchronization in Sensory Biology
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    Chapter 11 Crowd Disasters and Simulation of Panic Situations
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    Chapter 12 Investigations of Financial Markets Using Statistical Physics Methods
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    Chapter 13 Market Fluctuations I: Scaling, Multiscaling, and Their Possible Origins
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    Chapter 14 Market Fluctuations II: Multiplicative and Percolation Models, Size Effects, and Predictions
Attention for Chapter 12: Investigations of Financial Markets Using Statistical Physics Methods
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Chapter title
Investigations of Financial Markets Using Statistical Physics Methods
Chapter number 12
Book title
The Science of Disasters
Published by
Springer, Berlin, Heidelberg, January 2002
DOI 10.1007/978-3-642-56257-0_12
Book ISBNs
978-3-64-262531-2, 978-3-64-256257-0
Authors

Rosario N. Mantegna, H. Eugene Stanley

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