Description Usage Arguments Value Examples
Estimation of the p-quantile based on multiple local Hill estimators and Weissman's extrapolation formula with seasonality. We assume heavy-tail homogeneity within each season, i.e., all local EVI's are the same.
1 | RegioWeissmanSeas(x, j = 1, p, ...)
|
x |
List of 2 elements: each element is consistent a vector or matrix of observations |
j |
The number of the target site, i.e., if |
p |
The probability of interest; should be between 1-k_j/n_j and 1, where n_j is the
sample length of the |
... |
additional arguments, see RegioWeissman |
Point estimate of seasonal p-quantile of column j
and a short description.
1 2 3 4 5 6 7 8 9 10 11 | library("evd")
# Local & seasonal (observations of 80 years at one station):
x1 <- rgev(80, 2, 1, 0.2) # observations from season 1
x2 <- rgev(80, 3, 1, 0.3) # observations from season 2
x <- list(x1, x2)
RegioWeissmanSeas(x=x, j=1, p=0.99)
x1 <- matrix(rgev(400, 3, 1, 0.1), ncol=4) # observations of season 1 at 4 stations
x2 <- matrix(rgev(400, 2, 1, 0.3), ncol=4) # observations of season 2 at 4 stations
x <- list(x1, x2)
RegioWeissmanSeas(x=x, j=1, p=0.99)
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