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 |

`...` |
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)
``` |

flood documentation built on May 30, 2017, 8:25 a.m.

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