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Random matrices from a negative binomial distribution.
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 parameters R and P. The size of RND is the common size of R and P if both are matrices. If either parameter is a scalar, the size of RND is the size of the other parameter.
RND = nbinrnd(R,P,m) generates random numbers with parameters R and P. m is a 1-by-2 vector that contains the row and column dimensions of RND.
RND = nbinrnd(R,P,m,n) generates random numbers with parameters R and P. The scalars m and n are the row and column dimensions of RND.
The negative binomial models consecutive trials each having a constant probability, P, of success. The parameter, R, is the number of successes required before stopping.
Example
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
nbincdf,nbininv,nbinpdf,nbinstat