Poisson probability density function
computes the Poisson probability density function at each of the values in
y
= poisspdf(x
,lambda
)x
using the rate parameters in lambda
.
x
and lambda
can be scalars, vectors,
matrices, or multidimensional arrays that all have the same size. If only one argument is a
scalar, poisspdf
expands it to a constant array with the same dimensions
as the other argument.
poisspdf
is a function specific to Poisson distribution.
Statistics and Machine Learning Toolbox™ also offers the generic function pdf
, which supports various probability distributions. To use
pdf
, specify the probability distribution name and its parameters.
Alternatively, create a PoissonDistribution
probability distribution
object and pass the object as an input argument. Note that the distribution-specific
function poisspdf
is faster than the generic function
pdf
.
Use the Probability Distribution Function app to create an interactive plot of the cumulative distribution function (cdf) or probability density function (pdf) for a probability distribution.