shape and scale parameter scale.
It also allows sampling from the truncated distribution.
[Special Generator] -- Sampling Function: Lomax.urlomax(n, shape, scale=1, lb=0, ub=Inf)scale is omitted, it assumes the default value of 1. The Lomax distribution with parameters shape $=\alpha$
and scale $=\sigma$ has density
$$f(x) = \alpha \sigma^\alpha (x+\sigma)^{-(\alpha+1)}$$
for $x \ge 0$, $\alpha > 0$ and $\sigma > 0$.
The generation algorithm uses fast numerical inversion. The parameters
lb and ub can be used to generate variates from
the Lomax distribution truncated to the interval (lb,ub).
N.L. Johnson, S. Kotz, and N. Balakrishnan (1994): Continuous Univariate Distributions, Volume 1. 2nd edition, John Wiley & Sons, Inc., New York. Chap.20, p.575.
runif and .Random.seed about random number
generation and unuran for the UNU.RAN class.## Create a sample of size 1000
x <- urlomax(n=1000,shape=2)Run the code above in your browser using DataLab