randomTriangular¶

Generates pseudorandom numbers from a triangular distribution on the interval (0, 1).

Synopsis¶

randomTriangular (nRandom)

Required Arguments¶

int nRandom (Input): Number of random numbers to generate.

Return Value¶

An array of length nRandom containing the random deviates of a triangular distribution.

Description¶

Function randomTriangular generates pseudorandom numbers from a triangular distribution over the unit interval. The probability density function is $f(x)=4x$ , for $0\leq x\leq 0.5$ , and $f(x)=4(1-x)$ , for $0.5<x\leq 1$ . An inverse CDF technique is used.

Example¶

In this example, randomTriangular is used to generate five pseudorandom deviates from a triangular distribution.

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

n_random = 5
randomSeedSet(123457)
r = randomTriangular(n_random)
writeMatrix("Triangular random deviates", r, noColLabels=True)

Output¶

 
                  Triangular random deviates
     0.8700       0.3610       0.6581       0.5360       0.7215