| urlomax | R Documentation |
UNU.RAN random variate generator for the Lomax distribution (Pareto
distribution of second kind) with
shape parameter 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)
n |
size of required sample. |
shape |
(strictly positive) shape parameter. |
scale |
(strictly positive) scale parameter. |
lb |
lower bound of (truncated) distribution. |
ub |
upper bound of (truncated) distribution. |
If 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).
This function is a wrapper for the UNU.RAN class in R.
Josef Leydold and Wolfgang H\"ormann unuran@statmath.wu.ac.at.
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 (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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.