public void FitTest2()
{
double[] observations = { 0.25, 0.12, 0.72, 0.21, 0.62, 0.12, 0.62, 0.12 };
{
CauchyDistribution cauchy = new CauchyDistribution();
cauchy.Fit(observations);
Assert.AreEqual(0.18784819147980944, cauchy.Location, 1e-6);
Assert.AreEqual(0.14168064551279669, cauchy.Scale, 1e-6);
Assert.IsFalse(Double.IsNaN(cauchy.Location));
Assert.IsFalse(Double.IsNaN(cauchy.Scale));
}
{
CauchyOptions options = new CauchyOptions()
{
EstimateLocation = true,
EstimateScale = false
};
CauchyDistribution cauchy = new CauchyDistribution(location: 0, scale: 4.2);
cauchy.Fit(observations, options);
Assert.AreEqual(0.34712181102025652, cauchy.Location, 1e-4);
Assert.AreEqual(4.2, cauchy.Scale, 1e-10);
Assert.IsFalse(Double.IsNaN(cauchy.Location));
Assert.IsFalse(Double.IsNaN(cauchy.Scale));
}
}
public void FitTest2()
{
double[] observations = { 0.25, 0.12, 0.72, 0.21, 0.62, 0.12, 0.62, 0.12 };
{
CauchyDistribution cauchy = new CauchyDistribution();
cauchy.Fit(observations);
Assert.AreEqual(0.18383597286086659, cauchy.Location, 1e-10);
Assert.AreEqual(-0.10530822112775458, cauchy.Scale, 1e-10);
Assert.IsFalse(Double.IsNaN(cauchy.Location));
Assert.IsFalse(Double.IsNaN(cauchy.Scale));
}
{
CauchyOptions options = new CauchyOptions()
{
EstimateLocation = true,
EstimateScale = false
};
CauchyDistribution cauchy = new CauchyDistribution(location: 0, scale: 4.2);
cauchy.Fit(observations, options);
Assert.AreEqual(0.34712181102025652, cauchy.Location, 1e-4);
Assert.AreEqual(4.2, cauchy.Scale, 1e-10);
Assert.IsFalse(Double.IsNaN(cauchy.Location));
Assert.IsFalse(Double.IsNaN(cauchy.Scale));
}
}
public void FitTest()
{
CauchyDistribution target = new CauchyDistribution();
double[] observations = samples;
target.Fit(observations);
Assert.AreEqual(4.2, target.Location, 0.3);
Assert.AreEqual(0.21, target.Scale, 0.05);
}
public void FitTest2()
{
double[] observations = { 0.25, 0.12, 0.72, 0.21, 0.62, 0.12, 0.62, 0.12 };
{
CauchyDistribution cauchy = new CauchyDistribution();
cauchy.Fit(observations);
Assert.AreEqual(0.18383597286086659, cauchy.Location);
Assert.AreEqual(-0.10530822112775458, cauchy.Scale);
}
{
CauchyOptions options = new CauchyOptions()
{
EstimateLocation = true,
EstimateScale = false
};
CauchyDistribution cauchy = new CauchyDistribution(location: 0, scale: 4.2);
cauchy.Fit(observations, options);
Assert.AreEqual(0.34712181102025652, cauchy.Location);
Assert.AreEqual(4.2, cauchy.Scale);
}
}
public void FitTest()
{
CauchyDistribution target = new CauchyDistribution();
double[] observations = samples;
target.Fit(observations);
Assert.AreEqual(4.2, target.Location, 0.3);
Assert.AreEqual(0.21, target.Scale, 0.05);
}
public void FitTest2()
{
double[] observations = { 0.25, 0.12, 0.72, 0.21, 0.62, 0.12, 0.62, 0.12 };
{
CauchyDistribution cauchy = new CauchyDistribution();
cauchy.Fit(observations);
Assert.AreEqual(0.18784819147980944, cauchy.Location, 1e-6);
Assert.AreEqual(0.14168064551279669, cauchy.Scale, 1e-6);
Assert.IsFalse(Double.IsNaN(cauchy.Location));
Assert.IsFalse(Double.IsNaN(cauchy.Scale));
}
{
CauchyOptions options = new CauchyOptions()
{
EstimateLocation = true,
EstimateScale = false
};
CauchyDistribution cauchy = new CauchyDistribution(location: 0, scale: 4.2);
cauchy.Fit(observations, options);
Assert.AreEqual(0.34712181102025652, cauchy.Location, 1e-4);
Assert.AreEqual(4.2, cauchy.Scale, 1e-10);
Assert.IsFalse(Double.IsNaN(cauchy.Location));
Assert.IsFalse(Double.IsNaN(cauchy.Scale));
}
}