public LogNormal(double m, double s)
{
this.m = m;
this.s = s;
random = new RandomBSV(179029053, 457816087);
}
public MixtureDistribution(IDistribution[] distributions, double[] pi)
{
this.distributions = distributions;
this.pi = pi;
random = new RandomBSV(179029053, 457816087);
}
public BoxMullerNormal(double m, double stdDeviation)
{
this.m = m;
this.s = stdDeviation;
isSaved = false;
random = new RandomBSV(24149775, 19581355);
}
public MacLarenRandom(RandomBSV rand1, RandomBSV rand2)
{
table = new double[K];
this.rand1 = rand1;
this.rand2 = rand2;
for (int i = 0; i < K; i++)
{
table[i] = rand1.Next();
}
}
public double Next(RandomBSV rand)
{
List <double> a = SampleGenerator.GenerateSample(rand, N);
double x = 0.0;
foreach (double element in a)
{
x += element;
}
x -= N / 2;
x *= Math.Sqrt(12.0 / N);
return(m + Math.Sqrt(s) * x);
}
public ChiSquared(double m)
{
this.m = m;
random = new RandomBSV(179029053, 457816087);
}
public Laplace(double a)
{
this.a = a;
random = new RandomBSV(179029053, 457816087);
}
public Normal(double mean, double stdDeviation)
{
m = mean;
s = stdDeviation;
random = new RandomBSV(24149775, 19581355);
}
public Exponential(double a)
{
this.a = a;
random = new RandomBSV(179029053, 457816087);
}
