Y = nbinpdf(X,R,P) returns the negative binomial pdf at each of the values in X using the corresponding number of successes, R and probability of success in a single trial, P. X, R, and P can be vectors, matrices, or multidimensional arrays that all have the same size, which is also the size of Y. A scalar input for X, R, or P is expanded to a constant array with the same dimensions as the other inputs. Note that the density function is zero unless the values in X are integers.

The negative binomial pdf is

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, nbinpdf allows R to be any positive value, including nonintegers. When R is noninteger, the binomial coefficient in the definition of the pdf is replaced by the equivalent expression

Examples

x = (0:10);
y = nbinpdf(x,3,0.5);
plot(x,y,'+')
set(gca,'Xlim',[-0.5,10.5])

nbinpdf - Negative binomial probability density function

Syntax

Description

Examples

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