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Heavy-Tailed Distributions in Disaster Analysis

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Pisarenko, V. (Autor), Rodkin, M. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Advances in Natural and Technological Hazards Research, 30
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.