smoothtail
Smooth Estimation of GPD Shape Parameter
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].
- Version2.0.5
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release07/13/2016
Documentation
Team
Kaspar Rufibach
Kaspar Ru{f}{i}bach and Samuel Mueller
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- Depends1 package
- Imports1 package