urburr | R Documentation |
UNU.RAN random variate generator for the Burr distribution with
shape1
and shape2
.
It also allows sampling from the truncated distribution.
[Special Generator] – Sampling Function: Burr.
urburr(n, a, b, lb=0, ub=Inf)
n |
size of required sample. |
a,b |
positive shape parameters of the Burr distribution. |
lb |
lower bound of (truncated) distribution. |
ub |
upper bound of (truncated) distribution. |
The Burr distribution with parameters a
and b
has density
f(x) = a * (b-1) * x^(a-1)/(1+x^a)^b
for x >= 0, a >= 1 and b >= 2.
The generation algorithm uses transformed density rejection ‘TDR’. The
parameters lb
and ub
can be used to generate variates from
the Burr 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
runif
and .Random.seed
about random number
generation and unuran
for the UNU.RAN class.
## Create a sample of size 1000 x <- urburr(n=1000,a=2,b=3)
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