nbinrnd
Negative binomial random numbers
Syntax
RND = nbinrnd(R,P)
RND = nbinrnd(R,P,m,n,...)
RND
= nbinrnd(R,P,[m,n,...])
Description
RND = nbinrnd(R,P) is a matrix
of random numbers chosen from a negative binomial distribution with
corresponding number of successes, R and probability
of success in a single trial, P. R and P can
be vectors, matrices, or multidimensional arrays that have the same
size, which is also the size of RND. A scalar input
for R or P is expanded to a
constant array with the same dimensions as the other input.
RND = nbinrnd(R,P,m,n,...) or RND
= nbinrnd(R,P,[m,n,...]) generates an m-by-n-by-...
array. The R, P parameters can
each be scalars or arrays of the same size as R.
The simplest motivation for the negative binomial is the case
of successive random trials, each having a constant probability P of
success. The number of extra trials you must
perform in order to observe a given number R of
successes has a negative binomial distribution. However, consistent
with a more general interpretation of the negative binomial, nbinrnd allows R to
be any positive value, including nonintegers.
Examples
Suppose you want to simulate a process that has a defect probability of 0.01. How many units might Quality Assurance inspect before finding three defective items?
r = nbinrnd(3,0.01,1,6)+3 r = 496 142 420 396 851 178
Extended Capabilities
Version History
Introduced before R2006a
