Introduction
Statistics of extremes concerns the occurrence of rare events: catastrophic flooding due to very high tides or landslides following unusually heavy rain, structural failure of dams and bridges, massive earthquakes, stock market crashes, and so forth. It has applications in many domains of engineering, in meteorology, hydrology and other earth sciences, in telecommunications, in finance and insurance – indeed, in any domain in which major risks arise due to unusual events or combinations thereof. In applications the available data are often very limited in relation to the event of interest, so a key issue is the validity of extrapolation far into the tail of a distribution, based on data that are less extreme. This is usually formulated mathematically in terms of stability properties that reasonable models ought to possess, and these properties place strong restrictions on the families of distributions on which extrapolation should be based. The relevance of such properties...
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Balkema G, Embrechts P (2007) High risk scenarios and extremes. European Mathematical Society, Zürich
Beirlant J, Goegebeur Y, Teugels J, Segers J (2004) Statistics of extremes: theory and applications. Wiley, New York
Castillo E (1988) Extreme value theory in engineering. Academic, New York
Coles SG (2001) An introduction to statistical modeling of extreme values. Springer, New York
de Haan L, Ferreira A (2006) Extreme value theory: an introduction. Springer, New York
Embrechts P, Klüppelberg C, Mikosch T (1997) Modelling extremal events for insurance and finance. Springer, Berlin
Finkenstädt B, Rootzén H (eds) (2004) Extreme values in finance, telecommunications, and the environment. Chapman and Hall/CRC, New York
Fisher RA, Tippett LHC (1928) Limiting forms of the frequency distributions of the largest or smallest member of a sample. Proc Camb Philos Soc 24:180–190
Galambos J (1987) The asymptotic theory of extreme order statistics, 2nd edn. Krieger, Melbourne, FL
Gumbel EJ (1958) Statistics of extremes. Columbia University Press, New York
Kotz S, Nadarajah S (2000) Extreme value distributions: theory and applications. Imperial College Press, London
Leadbetter MR, Lindgren G, Rootzén H (1983) Extremes and related properties of random sequences and processes. Springer, New York
Resnick SI (1987) Extreme values, regular variation and point processes. Springer, New York
Resnick SI (2006) Heavy-tail phenomena: probabilistic and statistical modeling. Springer, New York
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Davison, A.C. (2011). Statistics of Extremes. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_562
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DOI: https://doi.org/10.1007/978-3-642-04898-2_562
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