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Heavy-Tailed Distributions in Disaster Analysis - pocketboek

2012, ISBN: 9400732856

[EAN: 9789400732858], Neubuch, [SC: 0.0], [PU: SPRINGER NATURE], SOCIOLOGY; SOCIAL SCIENCE / DISASTERS & DISASTER RELIEF; MATHEMATICS APPLIED; PROBABILITY STATISTICS GENERAL; NATURE NATUR… Meer...

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Heavy-Tailed Distributions in Disaster Analysis - V. Pisarenko; M. Rodkin
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V. Pisarenko; M. Rodkin:

Heavy-Tailed Distributions in Disaster Analysis - pocketboek

ISBN: 9789400732858

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, c… Meer...

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Heavy-Tailed Distributions in Disaster Analysis (Advances in Natural and Technological Hazards Research, Band 30) - Pisarenko, V.
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Pisarenko, V.:
Heavy-Tailed Distributions in Disaster Analysis (Advances in Natural and Technological Hazards Research, Band 30) - pocketboek

2012

ISBN: 9789400732858

Mitwirkende: Rodkin, M. Springer, Taschenbuch, Auflage: 2010, 204 Seiten, Publiziert: 2012-10-13T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 15 black & white tables, biography, 0.71 k… Meer...

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Heavy-Tailed Distributions in Disaster Analysis - V. F. Pisarenko
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V. F. Pisarenko:
Heavy-Tailed Distributions in Disaster Analysis - pocketboek

ISBN: 9789400732858

Paperback, [PU: Springer], This book presents new approaches to seismic risk estimation and forecasting the damage caused by all types of earthquakes. It examines trends in the costs infe… Meer...

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Pisarenko, V.:
Heavy-Tailed Distributions in Disaster Analysis - pocketboek

2017, ISBN: 9400732856

[EAN: 9789400732858], Neubuch, [PU: Springer], HEAVY-TAILED DISTRIBUTIONS IN DISASTER ANALYSIS, PRINT ON DEMAND Book; New; Publication Year 2017; Fast Shipping from the UK.

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Heavy-Tailed Distributions in Disaster Analysis (Advances in Natural and Technological Hazards Research, Band 30)

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 soci

Gedetalleerde informatie over het boek. - Heavy-Tailed Distributions in Disaster Analysis (Advances in Natural and Technological Hazards Research, Band 30)


EAN (ISBN-13): 9789400732858
ISBN (ISBN-10): 9400732856
pocket book
Verschijningsjaar: 2012
Uitgever: Springer

Boek bevindt zich in het datenbestand sinds 2014-03-18T03:02:51+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2024-02-02T13:53:15+01:00 (Amsterdam)
ISBN/EAN: 9789400732858

ISBN - alternatieve schrijfwijzen:
94-007-3285-6, 978-94-007-3285-8
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: pisar, pisarenko


Gegevens van de uitgever

Auteur: V. Pisarenko; M. Rodkin
Titel: Advances in Natural and Technological Hazards Research; Heavy-Tailed Distributions in Disaster Analysis
Uitgeverij: Springer; Springer Netherland
190 Bladzijden
Verschijningsjaar: 2012-10-13
Dordrecht; NL
Gedrukt / Gemaakt in
Gewicht: 0,454 kg
Taal: Engels
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XIV, 190 p.

BC; Geophysics and Environmental Physics; Hardcover, Softcover / Physik, Astronomie/Sonstiges; Umwelt; Verstehen; Analysis; Earthquake; Earthquakes; Hazards; Mmax-values; Natural disaster; Natural hazards and society; Rare strong events statistics; Seismic risk assessment; Natural Hazards; Mathematical and Computational Engineering; Geophysics/Geodesy; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Earth Sciences, general; Environmental Physics; Natural Hazards; Mathematical and Computational Engineering Applications; Geophysics; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Earth Sciences; Angewandte Physik; Naturkatastrophen; Mathematik für Ingenieure; Geophysik; Wahrscheinlichkeitsrechnung und Statistik; Geowissenschaften; BB

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. Audience: 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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