Vector implementing conditioning on approximate ancillary statistics for the TEM
Canonical parameter in the local exponential family approximation
gpdN.Vfun(par, dat, N)gpdN.phi(par, dat, N, V)
gpdN.dphi(par, dat, N, V)
vector of length 2 containing \(z\) and \(\xi\), respectively the mean excess of the maxima of N exceedances above the threshold and the shape parameter.
sample vector
block size for threshold exceedances.
vector calculated by gpdN.Vfun