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