public double SampleMean(IDistribution distribution)
{
sample = SampleGenerator.GenerateSample(distribution, n);
double sum = 0;
foreach (double x in sample)
{
sum += x;
}
return(sum / n);
}
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 double SampleCorrelation(IDistribution distribution)
{
Tuple <List <double>, List <double> > samples
= SampleGenerator.GenerateSubsamples(distribution, n);
double
_x = samples.Item1.Average(),
_y = samples.Item2.Average();
double
numerator = 0.0,
denominator = 0.0;
for (int i = 0; i < n / 2; i++)
{
numerator += (samples.Item1[i] - _x) * (samples.Item2[i] - _y);
denominator += Math.Pow(samples.Item1[i] - _x, 2) * Math.Pow(samples.Item2[i] - _y, 2);
}
denominator = Math.Sqrt(denominator);
return(numerator / denominator);
}