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Rand_Cauchy(Mu, Sigma, Stream). Cauchy distribution.
Parameters:
Mu = Mean.Sigma = Standard deviation.Stream = Random number stream.Rand_Student(N, Stream). Student's-t distribution.
Parameters:
N = degrees of freedom.Stream = Random number stream.Rand_Normal(Mu, Sigma, Stream). Normal distribution.
Parameters:
Mu = Mean.Sigma = Standard deviation.Stream = Random number stream.Rand_Gauss(Mu, Sigma, Stream). Gaussian distribution. Like Rand_Normal(),
but a bit faster.
Parameters:
Mu = Mean.Sigma = Standard deviation.Stream = Random number stream.Rand_Spline(Spline, Stream). This macro takes a spline describing the desired
distribution. The T value of the spline is the output value, and the .y value its chance of
occuring.
Parameters:
Spline = A spline determining the distribution.Stream = Random number stream.Rand_Gamma(Alpha, Beta, Stream). Gamma distribution.
Parameters:
Alpha = Shape parameter > 0.Beta = Scale parameter > 0.Stream = Random number stream.Rand_Beta(Alpha, Beta, Stream). Beta variate.
Parameters:
Alpha = Shape Gamma1.Beta = Scale Gamma2.Stream = Random number stream.Rand_Chi_Square(N, Stream). Chi Square random variate.
Parameters:
N = Degrees of freedom (integer).Stream = Random number stream.Rand_F_Dist(N, M, Stream). F-distribution.
Parameters:
N, M = Degrees of freedom.Stream = Random number stream.Rand_Tri(Min, Max, Mode, Stream). Triangular distribution
Parameters:
Min, Max, Mode: Min < Mode < Max.Stream = Random number stream.Rand_Erlang(Mu, K, Stream). Erlang variate.
Parameters:
Mu = Mean >= 0.K = Number of exponential samples.Stream = Random number stream.Rand_Exp(Lambda, Stream). Exponential distribution.
Parameters:
Lambda = rate = 1/mean.Stream = Random number stream.Rand_Lognormal(Mu, Sigma, Stream). Lognormal distribution.
Parameters:
Mu = Mean.Sigma = Standard deviation.Stream = Random number stream.Rand_Pareto(Alpha, Stream). Pareto distribution.
Parameters:
Alpha = ?Stream = Random number stream.Rand_Weibull(Alpha, Beta, Stream). Weibull distribution.
Parameters:
Alpha = ?Beta = ?Stream = Random number stream.Rand_Bernoulli(P, Stream) and Prob(P, Stream). Bernoulli distribution.
Output is true with probability equal to the value of P and false with a
probability of 1 - P.
Parameters:
P = probability range (0-1).Stream = Random number stream.Rand_Binomial(N, P, Stream). Binomial distribution.
Parameters:
N = Number of trials.P = Probability (0-1)Stream = Random number stream.Rand_Geo(P, Stream). Geometric distribution.
Parameters:
P = Probability (0-1).Stream = Random number stream.Rand_Poisson(Mu, Stream). Poisson distribution.
Parameters:
Mu = Mean.Stream = Random number stream.
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