Poisson inverse cumulative distribution function
X = poissinv(P,lambda)
X = poissinv(P,lambda) returns
the smallest value
X such that the Poisson cdf
X equals or exceeds
using mean parameters in
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.
If the average number of defects (λ) is two, what is the 95th percentile of the number of defects?
poissinv(0.95,2) ans = 5
What is the median number of defects?
median_defects = poissinv(0.50,2) median_defects = 2
This function fully supports GPU arrays. For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).