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001			1572-915X
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005			20260610082503.0
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022			_a1572-915X
024	7		_a10.1007/10687.1572-915X _2doi
210	1	0	_aExtremes
245	1	0	_aExtremes _h[electronic resource] : _bStatistical Theory and Applications in Science, Engineering and Economics / _cedited by Rafal Kulik, Thomas Mikosch.
264		1	_aNew York : _bSpringer US : _bImprint: Springer.
300			_bonline resource.
520			_aExtremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics and other fields. Authoritative and timely reviews of theoretical advances and of extreme value methods and problems in important applied areas, including detailed case studies, are welcome and will be a regular feature. All papers are refereed. Publication will be swift: in particular electronic submission and correspondence is encouraged. Statistical extreme value methods encompass a very wide range of problems: Extreme waves, rainfall, and floods are of basic importance in oceanography and hydrology, as are high windspeeds and extreme temperatures in meteorology and catastrophic claims in insurance. The waveforms and extremes of random loads determine lifelengths in structural safety, corrosion and metal fatigue. High concentrations of pollutants constitute health hazards. Large fluctuations in asset, share and bond prices and in exchange and interest rates have serious consequences for the economy. Much of risk and reliability theory is concerned with extreme occurrences. Methods and problems in tail estimation, statistical process control, sequential analysis, and heavy-tailed models for time series are closely related to extreme value theory. Numerical methods, optimization, simulation, and resampling are of interest for statistical extremes. Publication of research on statistical extremes is very scattered: e.g. in probability journals like the Annals of Probability or the Applied Probability journals, in statistical journals such as the Annals of Statistics, the Journals of the Royal Statistical Society or Technometrics, and in journals in hydrology, oceanography, meteorology, reliability, civil engineering, economics, finance and physics. The fragmented publication leads to long delays before theoretical advances find their way into practical application. Similarly, important applied probl ems are slow to gain attention by theoreticians. The aim of Extremes is to advance and speed up research and applications by providing a unified forum for the best papers on statistical extremes. In Extremes applied scientists will find comprehensive and up-to-date coverage of theoretical developments, specialists will find authoritative discussions of urgent applied problems, and authors will find the best medium for the dissemination and use of their results.
650		0	_aStatistics .
650		0	_aIndustrial Management.
650		0	_aCivil engineering.
650		0	_aGeology.
650		0	_aEnvironmental management.
650		0	_aStatistics .
650	1	4	_aStatistics.
650	2	4	_aIndustrial Management.
650	2	4	_aCivil Engineering.
650	2	4	_aGeology.
650	2	4	_aEnvironmental Management.
650	2	4	_aStatistics in Business, Management, Economics, Finance, Insurance.
700	1		_aKulik, Rafal. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMikosch, Thomas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted version: _x1386-1999
856	4	0	_uhttps://doi.org/10.1007/10687.1572-915X _zHybrid
999			_c2381 _d2381