Friday 3 May 2019

Statistical analysis of extreme values: with applications to insurance, finance, hydrology and other fields

Statistical analysis of extreme values: with applications to insurance, finance, hydrology and other fields by Rolf-Dieter Reiß, Michael Thomas.

This textbook deals with the statistical modeling and analysis of extremes. The restriction of the statistical analysis to this special field is justified by the fact that the extreme part of the sample can be of outstanding importance. It may exhibit a larger risk potential of random scenery such as floods, hurricanes, high concentration of air pollutants, extreme claim sizes, price shocks, incomes, life spans, etc. The fact that the likelihood of a future catastrophe is not negligible may initiate reactions which will help to prevent a greater disaster. Less spectacular yet important, the statistical insight gained from extremes can be decisive in daily business life or for the solution to ecological or technical problems.


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