public UnitSphereDistribution(RandomGenerator ran)
: base(ran)
{
scale = 2.0 / Maximum;
}
public PoissonDistribution (double mean,
RandomGenerator ran)
: base(ran)
{
Initialize(mean);
}
public BinomialDistribution (double prob, int num,
RandomGenerator ran)
: base(ran)
{
Initialize(prob,num);
}
public ChiSquareDistribution (double f, RandomGenerator ran)
: base(0.5*f,1.0,ran)
{
F = f;
}
FDistribution (double numf, double denomf, RandomGenerator ran)
: base(ran)
{
// check parameter range
if (numf < 0.0 || denomf < 0.0)
throw new ArgumentException(string.Format("Numerator ({0}) and denominator ({1}) degrees of freedom must be positive", numf, denomf));
// store parameters
NF = numf;
DF = denomf;
// initialize numerator and denominator chi-square distributions
NumChi2 = new ChiSquareDistribution(NF,ran);
DenomChi2 = new ChiSquareDistribution(DF,ran);
}
public GammaDistribution (double order, double loc,
RandomGenerator ran)
// original: NormalDistribution(0.0,1.0,ran), // std. normal
{
normalDistribution = new NormalDistribution(0.0,1.0,ran);
exponentialDistribution = new ExponentialDistribution(1.0,ran); // std. exponential
Initialize(order,loc);
}
public BetaDistribution (double pa, double pb,
RandomGenerator ran)
: base(ran)
{ Initialize(pa,pb); }
public ExponentialDistribution (double mean, RandomGenerator ran)
: base(ran)
{
m = mean;
scale = 1.0/max_val;
}
public ErlangDistribution (int order, double loc,
RandomGenerator ran): base(ran)
{
SetOrder(order,loc);
}
public LogNormalDistribution (double mean, double stdev, RandomGenerator ran)
: base(mean,stdev,ran)
{
Initialize(mean,stdev);
}
public NormalDistribution (double mean, double stdev, RandomGenerator ran)
: base(ran)
{
cached = 0;
m = mean;
s = stdev;
scale = 2.0 / max_val;
}
public U01_Distribution(RandomGenerator ran)
: base(ran)
{
scale = 1.0 / max_val;
}
public UniformDistribution (double lo, double hi, RandomGenerator ran)
: base(ran)
{
if (hi > lo)
{
low = lo; high = hi;
}
else
{
low = hi; high = lo;
}
scale = (high-low) / max_val;
}
/// <summary>Initialize the distribution by providing the random generator used
/// to produce the random values.</summary>
/// <param name="ran">The random generator used to produce the random values.</param>
public ProbabilityDistribution(RandomGenerator ran)
{
gen = ran;
max_val = ran.Maximum;
seed = ran.Seed;
}
