public void ConstructorTest1()
{
var normal = new GeneralizedNormalDistribution(location: 1, scale: 5, shape: 0.42);
double mean = normal.Mean; // 1
double median = normal.Median; // 1
double mode = normal.Mode; // 1
double var = normal.Variance; // 19200.781700666659
double cdf = normal.DistributionFunction(x: 1.4); // 0.50877105447218995
double pdf = normal.ProbabilityDensityFunction(x: 1.4); // 0.024215092283124507
double lpdf = normal.LogProbabilityDensityFunction(x: 1.4); // -3.7207791921441378
double ccdf = normal.ComplementaryDistributionFunction(x: 1.4); // 0.49122894552781005
double icdf = normal.InverseDistributionFunction(p: cdf); // 1.4000000149740104
double hf = normal.HazardFunction(x: 1.4); // 0.049294921448706883
double chf = normal.CumulativeHazardFunction(x: 1.4); // 0.71084497569360638
string str = normal.ToString(CultureInfo.InvariantCulture); // GGD(x; μ = 1, α = 5, β = 0.42)
Assert.AreEqual(1, mean);
Assert.AreEqual(1, median);
Assert.AreEqual(1, mode);
Assert.AreEqual(19200.781700666659, var);
Assert.AreEqual(0.71084497569360638, chf);
Assert.AreEqual(0.50877105447218995, cdf);
Assert.AreEqual(0.024215092283124507, pdf);
Assert.AreEqual(-3.7207791921441378, lpdf);
Assert.AreEqual(0.049294921448706883, hf);
Assert.AreEqual(0.49122894552781005, ccdf);
Assert.AreEqual(1.4000000149740104, icdf);
Assert.AreEqual("GGD(x; μ = 1, α = 5, β = 0.42)", str);
}