| public DistributionFunction ( double x ) : double | ||
| x | double | A single point in the distribution range. |
| return | double | |
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);
}