public void FitTest()
{
UniformContinuousDistribution target = new UniformContinuousDistribution();
double[] observations = { -1, 2, 5, 2, 3, 1, 4 };
double[] weights = null;
target.Fit(observations, weights);
Assert.AreEqual(-1.0, target.Minimum);
Assert.AreEqual(5.0, target.Maximum);
}
public FuncionUniforme(double[] eventos) : base(eventos)
{
try
{
DistribucionContinua = new UniformContinuousDistribution();
DistribucionContinua.Fit(eventos);
A = ((UniformContinuousDistribution)DistribucionContinua).Minimum.ToString("0.0000");
B = ((UniformContinuousDistribution)DistribucionContinua).Maximum.ToString("0.0000");
Resultado = new ResultadoAjuste(StringFDP, StringInversa, DistribucionContinua.StandardDeviation, DistribucionContinua.Mean, DistribucionContinua.Variance, this);
}
catch (Exception)
{
Resultado = null;
}
}
public void GenerateTest()
{
UniformContinuousDistribution target = new UniformContinuousDistribution(0, 2);
double[] samples = target.Generate(1000000);
for (int i = 0; i < samples.Length; i++)
{
Assert.IsTrue(samples[i] >= 0);
Assert.IsTrue(samples[i] <= 2);
}
UniformContinuousDistribution newTarget = new UniformContinuousDistribution();
newTarget.Fit(samples);
Assert.AreEqual(0, newTarget.Minimum, 1e-5);
Assert.AreEqual(2, newTarget.Maximum, 1e-5);
}
public void GenerateTest2()
{
UniformContinuousDistribution target = new UniformContinuousDistribution(0, 2);
double[] samples = new double[1000000];
for (int i = 0; i < samples.Length; i++)
{
samples[i] = target.Generate();
Assert.IsTrue(samples[i] >= 0);
Assert.IsTrue(samples[i] <= 2);
}
UniformContinuousDistribution newTarget = new UniformContinuousDistribution();
newTarget.Fit(samples);
Assert.AreEqual(0, newTarget.Minimum, 1e-5);
Assert.AreEqual(2, newTarget.Maximum, 1e-5);
}
