public static RealDistribution NewDistribution
(DistributionEnum distributionEnum,
string id,
int seed,
double mean,
double standardDeviation,
double extraParam0 // shape parameter for example
)
{
switch (distributionEnum)
{
case DistributionEnum.Fixed: return(new FixedDistribution(id, mean));
case DistributionEnum.Uniform: return(new UniformDistribution(id, mean, seed, extraParam0));
case DistributionEnum.Exp: return(new ExpDistribution(id, mean, seed));
case DistributionEnum.Erlang: return(new ErlangDistribution(id, mean, standardDeviation, seed));
case DistributionEnum.HyperExponential: return(new HyperExponentialDistribution(id, mean, standardDeviation, seed));
case DistributionEnum.Normal: return(new NormalDistribution(id, mean, standardDeviation, seed));
case DistributionEnum.LogNormal: return(new LogNormalDistribution(id, mean, standardDeviation, seed));
case DistributionEnum.Geometric0: return(new GeometricBase0Distribution(id, mean, seed));
case DistributionEnum.Geometric1: return(new GeometricBase1Distribution(id, mean, seed));
case DistributionEnum.HyperGeometric: return(new HyperGeometricDistribution(id, mean, standardDeviation, seed));
case DistributionEnum.Pareto: return(new ParetoDistribution(id, extraParam0, mean, seed));
}
return(null);
}
public DistributionSampler(DistributionEnum distribution_enum = DistributionEnum.Uniform_,
Distributions.DirectionE d = Distributions.DirectionE.Left_)
{
this._de = distribution_enum;
this._conf_level = Distributions.ConfidenceLevel._95;
this._Direction = d;
this._factor = 1.267291f;
}
