public void ConstructorTest1()
{
var bs = new BirnbaumSaundersDistribution(shape: 0.42);
double mean = bs.Mean; // 1.0882000000000001
double median = bs.Median; // 1.0
double var = bs.Variance; // 0.21529619999999997
double cdf = bs.DistributionFunction(x: 1.4); // 0.78956384911580346
double pdf = bs.ProbabilityDensityFunction(x: 1.4); // 1.3618433601225426
double lpdf = bs.LogProbabilityDensityFunction(x: 1.4); // 0.30883919386130815
double ccdf = bs.ComplementaryDistributionFunction(x: 1.4); // 0.21043615088419654
double icdf = bs.InverseDistributionFunction(p: cdf); // 2.0618330099769064
double hf = bs.HazardFunction(x: 1.4); // 6.4715276077824093
double chf = bs.CumulativeHazardFunction(x: 1.4); // 1.5585729930861034
string str = bs.ToString(CultureInfo.InvariantCulture); // BirnbaumSaunders(x; μ = 0, β = 1, γ = 0.42)
Assert.AreEqual(1.0882000000000001, mean);
Assert.AreEqual(1.0, median);
Assert.AreEqual(0.21529619999999997, var);
Assert.AreEqual(1.5585729930861034, chf);
Assert.AreEqual(0.78956384911580346, cdf);
Assert.AreEqual(1.3618433601225426, pdf);
Assert.AreEqual(0.30883919386130815, lpdf);
Assert.AreEqual(6.4715276077824093, hf);
Assert.AreEqual(0.21043615088419654, ccdf);
Assert.AreEqual(2.0618330099769064, icdf);
Assert.AreEqual("BirnbaumSaunders(x; μ = 0, β = 1, γ = 0.42)", str);
}