Compute the Z-value variable from a bivariate dataset.
zvalueRTDE(obs, omega, nbpoint, output=c("orig","relexcess"), marg=c("upareto","ufrechet","uunif"))## S3 method for class 'zvalueRTDE'print(x,...)## S3 method for class 'zvalueRTDE'summary(object,...)relexcess(x, nbpoint,...)## Default S3 method:relexcess(x, nbpoint,...)## S3 method for class 'zvalueRTDE'relexcess(x, nbpoint,...)
Arguments
obs: bivariate numeric dataset.
omega: a numeric for omega, see Details.
nbpoint: a numeric for the number of largest points to be selected.
output: a character string for the output: either "orig" for original value or "relexcess" for relative excess.
marg: a character string for the empirical margin transformation: either "upareto" for unit Pareto, "ufrechet" for unit Frechet or "uunif" for unit uniform margin.
x, object: an object inheriting from "zvalueRTDE".
...: arguments to be passed to subsequent methods.
Details
Given a bivariate dataset (Xi,Yi)i of n points, two variables are defined: (1) for output="orig", the Z~ω,i variable
where f(x) is the margin transformation and i=1,...,n; (2) for output="relexcess", the Zj variable
Zω,n−m,nZω,n−m+j,nZω,n−m+j,n/Zω,n−m,n
where m equals nbpoint, j=1,…,m, and c("widetildeZomega,1,n,...,\n", "widetildeZomega,n,n") are the order statistics of Zω,1,...,Zω,n. The margin transformation is
respectively for unit Pareto (marg="upareto"), unit Frechet (marg="ufrechet") and unit uniform margin (marg="uunif").
Returns
zvalueRTDE computes the Z-variable and returns an object of class "zvalueRTDE"
having the following components type (either "orig" or "relexcess"), omega, Ztilde or Z, n, possibly m.
relexcess computes the relative excesses from a Z-variable and returns an object of class "zvalueRTDE"
of type "relexcess".
References
C. Dutang, Y. Goegebeur, A. Guillou (2014), Robust and bias-corrected estimation of the coefficient of tail dependence, Volume 57, Insurance: Mathematics and Economics
This work was supported by a research grant (VKR023480) from VILLUM FONDEN and an international project for scientific cooperation (PICS-6416).
See Also
See fitRTDE for the fitting process and dataRTDE for the data-handling process.