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smoothtail (version 2.0.5)

Smooth Estimation of GPD Shape Parameter

Description

Given independent and identically distributed observations X(1), ..., X(n) from a Generalized Pareto distribution with shape parameter gamma in [-1,0], offers several estimates to compute estimates of gamma. The estimates are based on the principle of replacing the order statistics by quantiles of a distribution function based on a log--concave density function. This procedure is justified by the fact that the GPD density is log--concave for gamma in [-1,0].

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Version

Install

install.packages('smoothtail')

Monthly Downloads

154

Version

2.0.5

License

GPL (>= 2)

Maintainer

Kaspar Rufibach

Last Published

July 13th, 2016

Functions in smoothtail (2.0.5)

generalizedPick

Compute generalized Pickand's estimator
smoothtail-package

Smooth Estimation of GPD Shape Parameter
falkMVUE

Compute original and smoothed version of Falk's estimator for a known endpoint
gpd

The Generalized Pareto Distribution
falk

Compute original and smoothed version of Falk's estimator
pickands

Compute original and smoothed version of Pickands' estimator
lambdaGenPick

Auxiliary function to compute Segers' estimator