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R = poissrnd(lambda)
R = poissrnd(lambda,m)
R = poissrnd(lambda,m,n)
R = poissrnd(lambda) generates random numbers from the Poisson distribution with mean parameter lambda. lambda can be a vector, a matrix, or a multidimensional array. The size of R is the size of lambda.
R = poissrnd(lambda,m) generates random numbers from the Poisson distribution with mean parameter lambda, where m is a row vector. If m is a 1-by-2 vector, R is a matrix with m(1) rows and m(2) columns. If m is 1-by-n, R is an n-dimensional array.
R = poissrnd(lambda,m,n) generates random numbers from the Poisson distribution with mean parameter lambda, where scalars m and n are the row and column dimensions of R.
Generate a random sample of 10 pseudo-observations from a Poisson distribution with λ = 2.
lambda = 2; random_sample1 = poissrnd(lambda,1,10) random_sample1 = 1 0 1 2 1 3 4 2 0 0 random_sample2 = poissrnd(lambda,[1 10]) random_sample2 = 1 1 1 5 0 3 2 2 3 4 random_sample3 = poissrnd(lambda(ones(1,10))) random_sample3 = 3 2 1 1 0 0 4 0 2 0
random, poisspdf, poisscdf, poissinv, poisstat, poissfit
![]() | poisspdf | poisstat | ![]() |
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