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<< Click to Display Table of Contents >> Random Numbers |
  
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<< Click to Display Table of Contents >> Random Numbers |
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The seed value for the random number generator is set in Run Control. Generally these functions wrap their Math.net equivalents, so if you see a distribution function you need, please make a feature request via email. Where distributions are turncated by min and max values, draws are made by rejection sampling. If more than 10 rejections occur, the function falls back to a uniform distribution between the min and max bounds. Available distributions:
RandomUniform(min,max) Random() |
RandomUniform returns a random number uniformly distributed between min and max. Random() is shorthand for RandomUniform(0,1).
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RandomNormal(mean,stdev[,min,max]) |
Returns a random number normally distributed around mean with standard deviation stdev. With four arguments, output is restricted to fall between min and max.
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RandomBinomial(p,n) |
RandomBinomal returns a number from a binomial distribution with success probability p and n trials. Equivalent to the sum of n calls to RandomBernoulli with probability p.
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RandomBernoulli(p) |
RandomBernoulli is equivalent to RandomBinomial(p,1) - i.e. a single trial with probability p.
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RandomPoisson(mean[,min,max]) |
Returns a random number from a Poisson distribution with mean rate mean. With three arguments, output is restricted to fall between min and max.
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RandomBeta(a,b) |
A draw from the Beta distribution with parameters (a,b)
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RandomExponential(x) |
The Exponential distribution with rate parameter x
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RandomGamma(shape, rate) |
The Gamma distribution with specified shape and rate. Integer shapes yield the Erlang distribution, and Erlang(1) is Exponential.
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RandomNegativeBinomial(p,n) |
The Negative Binomial distribution with trial probability = p and trial failures = n.
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RandomTriangular(lower,upper,peak) |
A triangular distribution. Ordering should be lower < peak < upper.
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RandomWeibull(shape, scale) |
The Weibull distribution with specified shape and scale. |
See also
NormalCDF(value, mean, standardDeviation [, minrange, maxrange] ) |
The Cumulative Distribution Function of the Normal (Gaussian) distribution. If minrange and maxrange are supplied, the truncated normal is computed.
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NormalLikelihood(value, mean, standardDeviation [, minrange, maxrange]) |
The density function or PDF of the Normal distribution, optionally truncated by [minrange, maxrange]. |