nbinrnd - Negative binomial random numbers
Syntax
RND = nbinrnd(R,P)
RND = nbinrnd(R,P,m)
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) generates
random numbers with parameters R and P,
where v is a row vector. If v is a 1-by-2 vector, R is
a matrix with v(1) rows and v(2) columns.
If v is 1-by-n, R is an n-dimensional
array.
RND = nbinrnd(R,P,m,n) generates
random numbers with parameters R and P,
where scalars m and n are the row and column dimensions of RND.
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
See Also
random, nbinpdf, nbincdf, nbininv, nbinstat, nbinfit
Negative Binomial Distribution
 | nbinpdf | | nbinstat |  |
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