dGEVxGEV {flood} | R Documentation |
Two-component generalized extreme value distribution (GEV)
Description
Density, distribution function, quantile function and random generation for a two-component GEV distribution (product of two GEVs).
Usage
dGEVxGEV(x, param1, param2)
pGEVxGEV(q, param1, param2)
qGEVxGEV(p, param1, param2)
rGEVxGEV(n, param1, param2)
Arguments
x |
vector of quantiles. |
param1 |
three-dimensional vector (loc, scale, shape)' of a GEV from season 1. |
param2 |
three-dimensional vector (loc, scale, shape)' of a GEV from season 2. |
q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations. |
Details
These functions use the parametrization of the gev-functions from the package 'evd'.
The distribution F
of a two-component GEV is:
F=F_1 \cdot F_2
, where F_1
and F_2
are two
distribution functions of a GEV.
Examples
# density and distribution function of a two-component GEV:
par(mfrow=c(3,1))
curve(dGEVxGEV(x, c(2,1,0.2), c(3,2,0.4)), from=0, to=20, ylab="Density", n=1000)
curve(pGEVxGEV(x, c(2,1,0.2), c(3,2,0.4)), from=0, to=20, ylab="Probability", n=1000)
# quantiles of a two-component GEV:
qGEVxGEV(p=c(0.9, 0.99), c(2,1,0.2), c(3,2,0.4))
# random numbers of a two-component GEV:
set.seed(23764)
rn <- rGEVxGEV(1000, c(2,1,0.1), c(3,2,0))
hist(rn, breaks=40, freq=FALSE, main="")
curve(dGEVxGEV(x, c(2,1,0.1), c(3,2,0)), from=0, to=20,
ylab="density", n=1000, col="red", add=TRUE)
[Package flood version 0.1.1 Index]