In this chapter, we catch a glimpse of the real world in the condensed form of data. Our primary aim is to fit extreme value (EV) and generalized Pareto (GP) distributions, which were introduced in the foregoing chapter by means of limit theorems, to the data.


Hazard Function Kernel Density Tail Dependence Excess Function Cluster Size Distribution 
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