public void ConstructorTest()
{
var dist = new WrappedCauchyDistribution(mu: 0.42, gamma: 3);
double mean = dist.Mean; // 0.42
double var = dist.Variance; // 0.950212931632136
try { double median = dist.Median; Assert.Fail(); }
catch { }
try { double mode = dist.Mode; Assert.Fail(); }
catch { }
double pdf = dist.ProbabilityDensityFunction(x: 0.42); // 0.1758330112785475
double lpdf = dist.LogProbabilityDensityFunction(x: 0.42); // -1.7382205338929015
string str = dist.ToString(CultureInfo.InvariantCulture); // "WrappedCauchy(x; μ = 0.42, γ = 3)"
Assert.AreEqual(0.42, mean);
Assert.AreEqual(0.950212931632136, var);
Assert.AreEqual(0.1758330112785475, pdf, 1e-10);
Assert.AreEqual(-1.7382205338929015, lpdf, 1e-10);
Assert.AreEqual("WrappedCauchy(x; μ = 0.42, γ = 3)", str);
Assert.IsFalse(Double.IsNaN(pdf));
Assert.IsFalse(Double.IsNaN(lpdf));
bool thrown = false;
try { dist.GetRange(0.95); }
catch (NotSupportedException) { thrown = true; }
Assert.IsTrue(thrown);
}
public void ConstructorTest()
{
var dist = new WrappedCauchyDistribution(mu: 0.42, gamma: 3);
double mean = dist.Mean; // 0.42
double var = dist.Variance; // 0.950212931632136
try { double median = dist.Median; Assert.Fail(); }
catch { }
try { double mode = dist.Mode; Assert.Fail(); }
catch { }
double pdf = dist.ProbabilityDensityFunction(x: 0.42); // 0.1758330112785475
double lpdf = dist.LogProbabilityDensityFunction(x: 0.42); // -1.7382205338929015
string str = dist.ToString(CultureInfo.InvariantCulture); // "WrappedCauchy(x; μ = 0.42, γ = 3)"
Assert.AreEqual(0.42, mean);
Assert.AreEqual(0.950212931632136, var);
Assert.AreEqual(0.1758330112785475, pdf, 1e-10);
Assert.AreEqual(-1.7382205338929015, lpdf, 1e-10);
Assert.AreEqual("WrappedCauchy(x; μ = 0.42, γ = 3)", str);
Assert.IsFalse(Double.IsNaN(pdf));
Assert.IsFalse(Double.IsNaN(lpdf));
bool thrown = false;
try { dist.GetRange(0.95); }
catch (NotSupportedException) { thrown = true; }
Assert.IsTrue(thrown);
}
public void ConstructorTest()
{
var dist = new WrappedCauchyDistribution(mu: 0.42, gamma: 3);
double mean = dist.Mean; // 0.42
double var = dist.Variance; // 0.950212931632136
double pdf = dist.ProbabilityDensityFunction(x: 0.42); // 0.1758330112785475
double lpdf = dist.LogProbabilityDensityFunction(x: 0.42); // -1.7382205338929015
string str = dist.ToString(CultureInfo.InvariantCulture); // "WrappedCauchy(x; μ = 0.42, γ = 3)"
Assert.AreEqual(0.42, mean);
Assert.AreEqual(0.950212931632136, var);
Assert.AreEqual(0.1758330112785475, pdf);
Assert.AreEqual(-1.7382205338929015, lpdf);
Assert.AreEqual("WrappedCauchy(x; μ = 0.42, γ = 3)", str);
}
public void ConstructorTest()
{
var dist = new WrappedCauchyDistribution(mu: 0.42, gamma: 3);
double mean = dist.Mean; // 0.42
double var = dist.Variance; // 0.950212931632136
double pdf = dist.ProbabilityDensityFunction(x: 0.42); // 0.1758330112785475
double lpdf = dist.LogProbabilityDensityFunction(x: 0.42); // -1.7382205338929015
string str = dist.ToString(CultureInfo.InvariantCulture); // "WrappedCauchy(x; μ = 0.42, γ = 3)"
Assert.AreEqual(0.42, mean);
Assert.AreEqual(0.950212931632136, var);
Assert.AreEqual(0.1758330112785475, pdf);
Assert.AreEqual(-1.7382205338929015, lpdf);
Assert.AreEqual("WrappedCauchy(x; μ = 0.42, γ = 3)", str);
}