Heavy-Tailed Distributions in Disaster Analysis

• Κύριοι συγγραφείς: Pisarenko, V. (Συγγραφέας), Rodkin, M. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2010.
• Σειρά: Advances in Natural and Technological Hazards Research, 30
• Θέματα: 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...

Πίνακας περιεχομένων:

• Distributions of Characteristics of Natural Disasters: Data and Classification
• Models for the Generation of Distributions of Different Types
• Nonparametric Methods in the Study of Distributions
• Nonlinear and Linear Growth of Cumulative Effects of Natural Disasters
• The Nonlinear and Linear Modes of Growth of the Cumulative Seismic Moment
• Estimating the Uppermost Tail of a Distribution
• Relationship Between Earthquake Losses and Social and Economic Situation.