Heavy-Tailed Distributions in Disaster Analysis

• Main Authors: Pisarenko, V. (Author), Rodkin, M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2010.
• Series: Advances in Natural and Technological Hazards Research, 30
• Subjects: Physics.; Earth sciences.; Geophysics.; Natural disasters.; Statistics.; Applied mathematics.; Engineering mathematics.; Geophysics and Environmental Physics.; Natural Hazards.; Appl.Mathematics/Computational Methods of Engineering.; Geophysics/Geodesy.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Earth Sciences, general.

Mathematically, natural disasters of all types are characterized by heavy tailed distributions. The analysis of such distributions with common methods, such as averages and dispersions, can therefore lead to erroneous conclusions. The statistical methods described in this book avoid such pitfalls. S...