public void ConstructorTest1() { // Create a Skew normal distribution with location 2, scale 3 and shape 4.2 var skewNormal = new SkewNormalDistribution(location: 2, scale: 3, shape: 4.2); double mean = skewNormal.Mean; // 4.3285611780515953 double median = skewNormal.Median; // 4.0230040653062265 double var = skewNormal.Variance; // 3.5778028400709641 double mode = skewNormal.Mode; // 3.220622226764422 double cdf = skewNormal.DistributionFunction(x: 1.4); // 0.020166854942526125 double pdf = skewNormal.ProbabilityDensityFunction(x: 1.4); // 0.052257431834162059 double lpdf = skewNormal.LogProbabilityDensityFunction(x: 1.4); // -2.9515731621912877 double ccdf = skewNormal.ComplementaryDistributionFunction(x: 1.4); // 0.97983314505747388 double icdf = skewNormal.InverseDistributionFunction(p: cdf); // 1.3999998597203041 double hf = skewNormal.HazardFunction(x: 1.4); // 0.053332990517581239 double chf = skewNormal.CumulativeHazardFunction(x: 1.4); // 0.020372981958858238 string str = skewNormal.ToString(CultureInfo.InvariantCulture); // Sn(x; ξ = 2, ω = 3, α = 4.2) Assert.AreEqual(4.3285611780515953, mean); Assert.AreEqual(4.0230040653062265, median); Assert.AreEqual(3.2206222267273086, mode); Assert.AreEqual(3.5778028400709641, var); Assert.AreEqual(0.020372981958858238, chf); Assert.AreEqual(0.020166854942526125, cdf); Assert.AreEqual(0.052257431834161927, pdf); Assert.AreEqual(-2.9515731621912908, lpdf); Assert.AreEqual(0.053332990517581107, hf); Assert.AreEqual(0.97983314505747388, ccdf); Assert.AreEqual(1.3999998597203041, icdf); Assert.AreEqual("Sn(x; ξ = 2, ω = 3, α = 4.2)", str); }