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Negative binomial probability density function
Syntax
Description
returns the negative binomial pdf at each of the values in Y = nbinpdf(
X,R,P)
X
using the corresponding parameters in R
and P
. Vector or matrix inputs for X
, R
, and P must have the same size, which is also the size of Y
. A scalar input for X
, R
, or P is expanded to a constant matrix with the same dimensions as the other inputs. Note that the density function is zero unless the values in X
are integers.
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
Example
See Also
nbincdf
, nbinfit
, nbininv
, nbinrnd
, nbinstat
, pdf
![]() | nbininv | nbinrnd | ![]() |