000 04463nam a22004815i 4500
001 978-3-319-01454-8
003 DE-He213
005 20140220082508.0
007 cr nn 008mamaa
008 130911s2014 gw | s |||| 0|eng d
020 _a9783319014548
_9978-3-319-01454-8
024 7 _a10.1007/978-3-319-01454-8
_2doi
050 4 _aGB5000-5030
072 7 _aRNR
_2bicssc
072 7 _aNAT023000
_2bisacsh
082 0 4 _a551
_223
100 1 _aPisarenko, V.F.
_eauthor.
245 1 0 _aStatistical Analysis of Natural Disasters and Related Losses
_h[electronic resource] /
_cby V.F. Pisarenko, M.V. Rodkin.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXI, 81 p. 84 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Earth Sciences,
_x2191-5369
505 0 _aThe statistical methods of disaster analysis -- The heavy-tail distributions and their properties -- The contribution of maximum effect to the total, summarized effect under different distributions -- The stable approach to the risk assessment: estimation of quantiles of maximum effect -- Non-stationary natural processes, the “operational time” method -- The comparative study of disaster statistics for various natural disasters -- Earthquakes (energy, ground acceleration) -- Floods, hurricanes (victims, overall economic losses, insured losses) -- Tornadoes (victims, overall economic losses, insured losses).
520 _aThe study of disaster statistics and disaster occurrence is a complicated interdisciplinary field involving the interplay of new theoretical findings from several scientific fields like mathematics, physics, and computer science. Statistical studies on the mode of occurrence of natural disasters largely rely on fundamental findings in the statistics of rare events, which were derived in the 20th century. With regard to natural disasters, it is not so much the fact that the importance of this problem for mankind was recognized during the last third of the 20th century, - the myths one encounters in ancient civilizations show that the problem of disasters has always been recognized, - rather, it is the fact that mankind now possesses the necessary theoretical and practical tools to effectively study natural disasters, which in turn supports effective, major practical measures to minimize their impact. All the above factors have resulted in considerable progress in natural disaster research. Substantial accrued material on natural disasters and the use of advanced recording techniques have opened new doors for empirical analysis. However, despite the considerable progress made, the situation is still far from ideal. Sufficiently complete catalogs of events are still not available for many types of disasters, and the methodological and even terminological bases of research need to be further developed and standardized. The present monograph summarizes recent advances in the field of disaster statistics, primarily focusing on the occurrence of disasters that can be described by distributions with heavy tails. These disasters typically occur on a very broad range of scales, the rare greatest events being capable of causing losses comparable to the total losses of all smaller disasters of the same type. Audience: This SpringerBrief will be a valuable resource for those working in the fields of  natural disaster research, risk assessment and loss mitigation at regional and federal governing bodies and in the insurance business, as well as for a broad range of readers interested in problems concerning natural disasters and their effects on human life.
650 0 _aGeography.
650 0 _aPhysical geography.
650 0 _aGeology.
650 1 4 _aEarth Sciences.
650 2 4 _aNatural Hazards.
650 2 4 _aGeophysics/Geodesy.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
700 1 _aRodkin, M.V.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319014531
830 0 _aSpringerBriefs in Earth Sciences,
_x2191-5369
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-01454-8
912 _aZDB-2-EES
999 _c92661
_d92661