| 书目名称 | Heavy-Tailed Distributions in Disaster Analysis |
| 编辑 | V. Pisarenko,M. Rodkin |
| 视频video | |
| 概述 | Mathematical evidence of non-robustness of Mmax parameter are presented.Robust analog of Mmax is presented.Evidence in support of possible realization of sustainable development is presented.Distribut |
| 丛书名称 | Advances in Natural and Technological Hazards Research |
| 图书封面 |  |
| 描述 | .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 develo |
| 出版日期 | Book 2010 |
| 关键词 | Analysis; Earthquake; Earthquakes; Hazards; Mmax-values; Natural disaster; Natural hazards and society; Rar |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-90-481-9171-0 |
| isbn_softcover | 978-94-007-3285-8 |
| isbn_ebook | 978-90-481-9171-0Series ISSN 1878-9897 Series E-ISSN 2213-6959 |
| issn_series | 1878-9897 |
| copyright | Springer Science+Business Media B.V. 2010 |
发表于 2025-3-21 18:53:06
