Книга Heavy-Tailed Distributions in Disaster Analysis V. Pisarenko

Heavy-Tailed Distributions in Disaster Analysis

Автор: V. Pisarenko, M. Rodkin
Език: Английски език
Корици: С твърди корици
Издател: Springer
Наличност: Външен склад в ограничено количество
Изпращаме след 11-15 дни
115.77 226.44 лв
Mathematically, natural disasters of all types are characterized by heavy tailed distributions. The...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2010
страници
190
EAN
9789048191703
ISBN
904819170X
Enbook ID
01976774
Издател
Теглоt
1030
Размери
155 x 235 x 20

Пълно описание

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. Seismic disasters are studied, primarily thanks to the availability of an ample statistical database. New approaches are presented to seismic risk estimation and forecasting the damage caused by earthquakes, ranging from typical, moderate events to very rare, extreme disasters. Analysis of these latter events is based on the limit theorems of probability and the duality of the generalized Pareto distribution and generalized extreme value distribution. It is shown that the parameter most widely used to estimate seismic risk Mmax, the maximum possible earthquake value is potentially non-robust. Robust analogues of this parameter are suggested and calculated for some seismic catalogues. Trends in the costs inferred by damage from natural disasters as related to changing social and economic situations are examined for different regions. §The results obtained argue for sustainable development, whereas entirely different, incorrect conclusions can be drawn if the specific properties of the heavy-tailed distribution and change in completeness of data on natural hazards are neglected.§This pioneering work is directed at risk assessment specialists in general, seismologists, administrators and all those interested in natural disasters and their impact on society.

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