UNU.RAN random variate generator for the Extreme value type II
(Frechet-type) distribution with shape parameter shape,
location parameter location and scale parameter scale.
It also allows sampling from the truncated distribution.
[Special Generator] -- Sampling Function: Frechet (extreme value type II).
urextremeII(n, shape, location=0, scale=1, lb=location, ub=Inf)
size of required sample.
(strictly positive) shape parameter.
location parameter.
(strictly positive) scale parameter.
lower bound of (truncated) distribution.
upper bound of (truncated) distribution.
Josef Leydold and Wolfgang H\"ormann unuran@statmath.wu.ac.at.
If location or scale are not specified, they assume
the default values of 0 and 1 respectively.
The Frechet distribution function with shape \(k\), location \(l\) and scale \(s\) is $$ F(x) = \exp(-(\frac{x-l}{s})^{-k}) $$ for \(x \ge l\).
The generation algorithm uses fast numerical inversion. The parameters
lb and ub can be used to generate variates from
the Frechet distribution truncated to the interval (lb,ub).
W. H\"ormann, J. Leydold, and G. Derflinger (2004): Automatic Nonuniform Random Variate Generation. Springer-Verlag, Berlin Heidelberg.
N.L. Johnson, S. Kotz, and N. Balakrishnan (1995): Continuous Univariate Distributions, Volume 2. 2nd edition, John Wiley & Sons, Inc., New York. Chap.22, p.2.
runif and .Random.seed about random number
generation and unuran for the UNU.RAN class.
## Create a sample of size 1000
x <- urextremeII(n=1000,shape=2)
Run the code above in your browser using DataLab