poissrnd

Pseudo-random number of a Poisson distribution

Usages

poissrnd(lamb)

• It returns pseudo-random numbers of Poisson distributions with mean values given by lamb.
• lamb should contains real, non-negative numbers.
• The output has the same size as lamb.

poissrnd(lamb,m)

• It returns pseudo-random numbers of Poisson distributions with means given by lamb.
• m should be a positive integer.
• The output is an m-by-m matrix.
• lamb should be a scalar or an m-by-m matrix.
• lamb should contains real, non-negative numbers.

poissrnd(lamb,s1,s2,...,sn)

• It returns pseudo-random numbers of Poisson distributions with means given by lamb.
• s1, s2, ... sn should be real, non-negative integers.
• The output has the size [s1,s2,...,sn].
• lamb should be a scalar or an array of size [s1,s2,...,sn].
• lamb should contains real, non-negative numbers.

poissrnd(lamb,sizeVec)

• It returns pseudo-random numbers of Poisson distributions with means given by lamb.
• The output has the size specified by the vector sizeVec.
• lamb should be a scalar or an array of size sizeVec.
• lamb should contains real, non-negative numbers.

Examples

• This example models customer arrivals at a clinic. The average number of arrivals from 9:00 am to 10:00 am is $\lambda=10$ patients. We are going to randomly generate the numbers of arrivals in the same period in 10 consecutive days.

Input

lambda = 10;
poissrnd(lambda, 1, 10)

Output

ans = 
Columns 1 through 3:
 9.0000   12.000   8.0000
Columns 4 through 6:
 6.0000   11.000   9.0000
Columns 7 through 9:
 13.000   11.000   13.000
Column 10:
 12.000

Differences With MATLAB

• Since this app's algorithms for generating random numbers and initial states may be different from MATLAB's, users should not expect this app and MATLAB to give the same sequences of pseudo-random numbers.