public void FromContinuous()
{
ContinuousDistribution1 continuous = new NormalDistribution1(10, 4);
DiscreteDistribution1 distribution = new DiscreteDistribution1(continuous, 1024);
Assert.AreEqual(1.0, Math.Round(distribution.Sum, 3));
Assert.AreEqual(continuous.Mean, distribution.Mean);
Assert.AreEqual(continuous.Sigma, distribution.Sigma);
}
public void MeanAndVariance()
{
DiscreteDistribution1 distribution = new DiscreteDistribution1(4);
distribution[0] = 0.25;
distribution[1] = 0.5;
distribution[2] = 0.15;
distribution[3] = 0.1;
distribution.Update();
Assert.AreEqual(1.1, distribution.Mean);
Assert.AreEqual(0.79, distribution.Variance);
}
public void Scale()
{
DiscreteDistribution1 distribution = new DiscreteDistribution1(4);
distribution[0] = 0.25;
distribution[1] = 0.25;
distribution[2] = 0.25;
distribution[3] = 0.25;
distribution.Scale = 10.0;
distribution.Update();
Assert.AreEqual(15.0, distribution.Mean);
}
public void Translate()
{
DiscreteDistribution1 distribution = new DiscreteDistribution1(4);
distribution[0] = 0.25;
distribution[1] = 0.25;
distribution[2] = 0.25;
distribution[3] = 0.25;
distribution.Translate = -1.5;
distribution.Update();
Assert.AreEqual(0.0, distribution.Mean);
}
public void RandomNumber()
{
ContinuousDistribution1 continuous = new NormalDistribution1(2, 3);
DiscreteDistribution1 distribution = new DiscreteDistribution1(continuous, 1024);
System.Random rnd = new System.Random(0);
int size = 100000;
double[] arr = new double[size];
for (int i = 0; i < size; i++)
{
arr[i] = distribution.RandomNumber(rnd);
}
double mean = Statistics.Mean(arr);
double sigma = Math.Sqrt(Statistics.Variance(arr, mean));
Assert.AreEqual(continuous.Mean, Math.Round(mean, 1));
Assert.AreEqual(continuous.Sigma, Math.Round(sigma, 1));
}
