Inheritance: UnivariateContinuousDistribution, IFormattable
        public void ConstructorTest()
        {
            // Example from http://www.nag.com/numeric/cl/nagdoc_cl23/pdf/G01/g01ddc.pdf

            double[] a = 
            { 
                0.11, 7.87, 4.61, 10.14, 7.95, 3.14, 0.46, 4.43, 
                0.21, 4.75, 0.71, 1.52, 3.24, 0.93, 0.42, 4.97,
                9.53, 4.55, 0.47, 6.66 
            };

            var sw = new ShapiroWilkDistribution(a.Length);

            double expected = 0.0421;
            double actual = sw.ComplementaryDistributionFunction(0.9005);
            Assert.AreEqual(expected, actual, 1e-4);
        }
        public void ConstructorTest2()
        {
            // Example from http://www.nag.com/numeric/cl/nagdoc_cl23/pdf/G01/g01ddc.pdf

            double[] b =
            {
                1.36, 1.14, 2.92, 2.55, 1.46, 1.06, 5.27, 1.11, 3.48,
                1.10, 0.88, 0.51, 1.46, 0.52, 6.20, 1.69, 0.08, 3.67,
                2.81, 3.49
            };

            var sw = new ShapiroWilkDistribution(b.Length);

            double expected = 0.5246;
            double actual = sw.ComplementaryDistributionFunction(0.9590);
            Assert.AreEqual(expected, actual, 1e-3);
        }
        public void ConstructorTest3()
        {
            var sw = new ShapiroWilkDistribution(samples: 12);

            double mean = sw.Mean;     // 0.940148636841248
            double median = sw.Median; // 0.940148636841248
            double mode = sw.Mode;     // 0.940148636841248

            double cdf = sw.DistributionFunction(x: 0.42); // 0.999995183174473
            double pdf = sw.ProbabilityDensityFunction(x: 0.42); // 0.000043477460596194137
            double lpdf = sw.LogProbabilityDensityFunction(x: 0.42); // -10.043267901368219

            double ccdf = sw.ComplementaryDistributionFunction(x: 0.42); // 0.0000048168255270011394
            double icdf = sw.InverseDistributionFunction(p: cdf); // 0.42000002275671627

            double hf = sw.HazardFunction(x: 0.42); // 9.0261647121070521
            double chf = sw.CumulativeHazardFunction(x: 0.42); // 12.243395451233496

            string str = sw.ToString(CultureInfo.InvariantCulture); // W(x; n = 12)

            Assert.AreEqual(0.940148636841248, mean);
            Assert.AreEqual(0.940148636841248, mode);
            Assert.AreEqual(0.940148636841248, median, 1e-8);
            Assert.AreEqual(12.243395451233496, chf);
            Assert.AreEqual(0.999995183174473, cdf);
            Assert.AreEqual(0.000043477460596194137, pdf);
            Assert.AreEqual(-10.043267901368219, lpdf);
            Assert.AreEqual(9.0261647121070521, hf);
            Assert.AreEqual(0.0000048168255270011394, ccdf);
            Assert.AreEqual(0.42000002275671627, icdf, 1e-8);
            Assert.AreEqual("W(x; n = 12)", str);

            var range1 = sw.GetRange(0.95);
            Assert.AreEqual(0.8607805197002204, range1.Min);
            Assert.AreEqual(0.97426955790462533, range1.Max);

            var range2 = sw.GetRange(0.99);
            Assert.AreEqual(0.80248479750351542, range2.Min);
            Assert.AreEqual(0.98186388183806661, range2.Max);

            var range3 = sw.GetRange(0.01);
            Assert.AreEqual(0.80248479750351542, range3.Min);
            Assert.AreEqual(0.98186388183806661, range3.Max);
        }
        public void ConstructorTest4()
        {
            // Create a new Shapiro-Wilk's W for 5 samples
            var sw = new ShapiroWilkDistribution(samples: 5);

            double mean = sw.Mean;     // 0.81248567196628929
            double median = sw.Median; // 0.81248567196628929
            double mode = sw.Mode;     // 0.81248567196628929

            double cdf = sw.DistributionFunction(x: 0.84); // 0.83507812080728383
            double pdf = sw.ProbabilityDensityFunction(x: 0.84); // 0.82021062372326459
            double lpdf = sw.LogProbabilityDensityFunction(x: 0.84); // -0.1981941135071546

            double ccdf = sw.ComplementaryDistributionFunction(x: 0.84); // 0.16492187919271617
            double icdf = sw.InverseDistributionFunction(p: cdf); // 0.84000000194587177

            double hf = sw.HazardFunction(x: 0.84); // 4.9733281462602292
            double chf = sw.CumulativeHazardFunction(x: 0.84); // 1.8022833766369502

            string str = sw.ToString(CultureInfo.InvariantCulture); // W(x; n = 12)

            Assert.AreEqual(0.81248567196628929, mean);
            Assert.AreEqual(0.81248567196628929, mode);
            Assert.AreEqual(0.81248567196628929, median, 1e-8);
            Assert.AreEqual(1.8022833766369502, chf);
            Assert.AreEqual(0.83507812080728383, cdf);
            Assert.AreEqual(0.82021062372326459, pdf);
            Assert.AreEqual(-0.1981941135071546, lpdf);
            Assert.AreEqual(4.9733281462602292, hf);
            Assert.AreEqual(0.16492187919271617, ccdf);
            Assert.AreEqual(0.84000000194587177, icdf, 1e-8);
            Assert.AreEqual("W(x; n = 5)", str);

            var range1 = sw.GetRange(0.95);
            Assert.AreEqual(0.77509977845943778, range1.Min);
            Assert.AreEqual(0.98299906816568339, range1.Max);

            var range2 = sw.GetRange(0.99);
            Assert.AreEqual(0.70180031139628618, range2.Min);
            Assert.AreEqual(0.99334588234528642, range2.Max);

            var range3 = sw.GetRange(0.01);
            Assert.AreEqual(0.70180031139628618, range3.Min);
            Assert.AreEqual(0.99334588234528642, range3.Max);
        }