Threshold Estimation Approaches


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Documentation for package ‘tea’ version 1.1

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tea-package Threshold Estimation Approaches
althill Alternative Hill Plot
avhill Averaged Hill Plot
dAMSE Minimizing the AMSE of the Hill estimator with respect to k
danielsson A Double Bootstrap Procedure for Choosing the Optimal Sample Fraction
danish Danish Fire Insurance Claims
dgpd The Generalized Pareto Distribution (GPD)
DK A Bias-based procedure for Choosing the Optimal Sample Fraction
eye Automated Approach for Interpreting the Hill-Plot
ggplot Gerstengarbe Plot
GH A Bias-based procedure for Choosing the Optimal Threshold
gomes A Double Bootstrap Procedure for Choosing the Optimal Sample Fraction
gpd The Generalized Pareto Distribution (GPD)
gpdFit Parameter estimation for the Generalized Pareto Distribution (GPD)
hall A Single Bootstrap Procedure for Choosing the Optimal Sample Fraction
Himp A Single Bootstrap Procedure for Choosing the Optimal Sample Fraction
HW Minimizing the AMSE of the Hill estimator with respect to k
mindist Minimizing the distance between the empirical tail and a theoretical Pareto tail with respect to k.
pgpd The Generalized Pareto Distribution (GPD)
PS Sample Path Stability Algorithm
qgpd The Generalized Pareto Distribution (GPD)
qqestplot QQ-Estimator-Plot
qqgpd QQ-Plot against the generalized Pareto distribution for given number of exceedances
rgpd The Generalized Pareto Distribution (GPD)
RT Adaptive choice of the optimal sample fraction in tail index estimation
sumplot Sum Plot
tea Threshold Estimation Approaches
TH Sequential Goodness of Fit Testing for the Generalized Pareto Distribution