poisspdf - Poisson probability density function
Syntax
Y = poisspdf(X,lambda)
Description
Y = poisspdf(X,lambda) computes
the Poisson pdf at each of the values in X using
mean parameters in lambda. X and lambda can
be vectors, matrices, or multidimensional arrays that all have the
same size. A scalar input is expanded to a constant array with the
same dimensions as the other input. The parameters in lambda must
all be positive.
The Poisson pdf is
where x can be any nonnegative integer.
The density function is zero unless x is an integer.
Examples
A computer hard disk manufacturer has observed that flaws occur
randomly in the manufacturing process at the average rate of two flaws
in a 4 GB hard disk and has found this rate to be acceptable. What
is the probability that a disk will be manufactured with no defects?
In this problem, λ = 2 and x = 0.
p = poisspdf(0,2)
p =
0.1353
See Also
pdf, poisscdf, poissinv, poisstat, poissfit, poissrnd
Poisson Distribution
 | poissinv | | poissrnd |  |
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