Vector implementing conditioning on approximate ancillary statistics for the TEM
Usage
gevN.Vfun(par, dat, N, q = 0.5, qty = c("mean", "quantile"))
gevN.phi(par, dat, N, q = 0.5, qty = c("mean", "quantile"), V)
gevN.dphi(par, dat, N, q = 0.5, qty = c("mean", "quantile"), V)
Arguments
- par
vector of loc, quantile/mean of N-block maximum and shape
- dat
sample vector
- q
probability, corresponding to \(q\)th quantile of the N-block maximum
- qty
string indicating whether to calculate the q quantile or the mean
- V
vector calculated by gevN.Vfun