Hill estimator of the tail index. This estimator assumes the tail index
to be positive. The threshold used is the k+1 order statistic.
Usage
hillest(data, k)
Arguments
data
vector of sample from a distribution for which the tail
index is to be estimated
k
define the number of order statistics used for the estimation
Value
Hill estimator of the tail index parameter.
References
Embrechts, P., Kluppelberg, C. and Mikosch, T. (1997), Modelling
Extremal Events, Applications of Mathematics, Stochastic Modelling and
Applied Probability, Springer
# NOT RUN {r<-rhpareto(5000,0.2,-50,1,trunc=TRUE) # tail index is equal to 0.2# Hill estimator of the tail index with the 100 largest observationshillest(r,10)
# }