randomUniformDiscrete¶

Generates pseudorandom numbers from a discrete uniform distribution.

Synopsis¶

randomUniformDiscrete (nRandom, k)

Required Arguments¶

int nRandom (Input): Number of random numbers to generate.
int k (Input): Parameter of the discrete uniform distribution. The integers 1, 2, …, k occur with equal probability. Parameter k must be positive.

Return Value¶

An integer array of length nRandom containing the random discrete uniform deviates.

Description¶

Function randomUniformDiscrete generates pseudorandom numbers from a uniform discrete distribution over the integers 1, 2, … k. A random integer is generated by multiplying k by a uniform (0, 1) random number, adding 1.0, and truncating the result to an integer. This, of course, is equivalent to sampling with replacement from a finite population of size k.

Example¶

In this example, randomUniformDiscrete generates five pseudorandom discrete uniform deviates from a discrete uniform distribution over the integers 1 to 6.

from numpy import *
from pyimsl.stat.randomUniformDiscrete import randomUniformDiscrete
from pyimsl.stat.randomSeedSet import randomSeedSet
from pyimsl.stat.writeMatrix import writeMatrix

n_random = 5
k = 6
randomSeedSet(123457)
ir = randomUniformDiscrete(n_random, k)
writeMatrix("Discrete Uniform (1, 6) random deviates:", ir,
            noColLabels=True, writeFormat="%5i")

Output¶

 
Discrete Uniform (1, 6) random deviates:
        6      2      5      4      6